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Browsing by Author "Li, Qing"

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    Game Theoretic and Analytical Approaches to International Cooperation and Investment Problems
    Li, Qing (Virginia Tech, 2001-05-04)
    International cooperation and foreign investment issues are two important components of an international economy. The various aspects of research related to such international cooperation and foreign investment decisions are fraught with various complex factors. In this thesis, we consider two specific issues in the arena of international technological cooperation and foreign investments, by using established Operations Research techniques of game theory and multiple criteria decision making. We first analyze regional technological cooperation mechanisms using classical game theory. A concept of regional technological cooperation is developed based on a cooperative game theoretic model, in which a plan of payoff distributions induces an agreement that is acceptable to each participant. Under certain conditions, the underlying game is shown to be convex, and hence to have a nonempty core with the Shapley value allocations belonging to the core. A compensation scheme is devised based on the Shapley value allocations, whereby participants who enjoy a greater payoff with respect to the technological cooperation compensate the participants who receive a relatively lesser payoff via cooperation. In this manner, regional technological cooperation can bring overall benefits to all the involved players in the game. Some insightful examples are provided to illustrate the methodological concept. Next, we discuss a model for analyzing foreign direct investment opportunities and for evaluating related projects based on the International Investment Attracting Force Theory and the technology of fuzzy evaluation. This model is applied to assess the industrial investment projects that were proposed in the â â 95 China's Tumen River Area International Investment and Business Forumâ funded by the United Nations Industrial Development Organization. Accordingly, the projects are classified into groups based on their potential to attract foreign investors. Furthermore, we simulate the actual forming process whereby projects are sequenced and selected for funding by foreign investors based on a sequential update of their effect on the local economy. The results provide a scientific basis for formulating related decisions and policy recommendations regarding the various proposed projects.
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    Genome sequences of wild and domestic bactrian camels
    Jirimutu; Wang, Zhen; Ding, Guohui; Chen, Gangliang; Sun, Yamin; Sun, Zhihong; Zhang, Heping; Wang, Lei; Hasi, Surong; Zhang, Yan; Li, Jianmei; Shi, Yixiang; Xu, Ze; He, Chuan; Yu, Siriguleng; Li, Shengdi; Zhang, Wenbin; Batmunkh, Mijiddorj; Ts, Batsukh; Narenbatu; Unierhu; Bat-Ireedui, Shirzana; Gao, Hongwei; Baysgalan, Banzragch; Li, Qing; Jia, Zhiling; Turigenbayila; Subudenggerile; Narenmanduhu; Wang, Zhaoxia; Wang, Juan; Pan, Lei; Chen, Yongcan; Ganerdene, Yaichil; Dabxilt; Erdemt; Altansha; Altansukh; Liu, Tuya; Cao, Minhui; Aruuntsever; Bayart; Hosblig; He, Fei; Zha-ti, A.; Zheng, Guangyong; Qiu, Feng; Sun, Zikui; Zhao, Lele; Zhao, Wenjing; Liu, Baohong; Li, Chao; Chen, Yunqin; Tang, Xiaoyan; Guo, Chunyan; Liu, Wei; Ming, Liang; Temuulen; Cui, Aiying; Li, Yi; Gao, Junhui; Li, Jing; Wurentaodi; Niu, Shen; Sun, Tao; Zhai, Zhengxiao; Zhang, Min; Chen, Chen; Baldan, Tunteg; Bayaer, Tuman; Li, Yixue; Meng, He (Springer Nature, 2012-11)
    Bactrian camels serve as an important means of transportation in the cold desert regions of China and Mongolia. Here we present a 2.01 Gb draft genome sequence from both a wild and a domestic bactrian camel. We estimate the camel genome to be 2.38 Gb, containing 20,821 protein-coding genes. Our phylogenomics analysis reveals that camels shared common ancestors with other even-toed ungulates about 55-60 million years ago. Rapidly evolving genes in the camel lineage are significantly enriched in metabolic pathways, and these changes may underlie the insulin resistance typically observed in these animals. We estimate the genome-wide heterozygosity rates in both wild and domestic camels to be 1.0 x 10(-3). However, genomic regions with significantly lower heterozygosity are found in the domestic camel, and olfactory receptors are enriched in these regions. Our comparative genomics analyses may also shed light on the genetic basis of the camel's remarkable salt tolerance and unusual immune system.
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    Recurrent-Event Models for Change-Points Detection
    Li, Qing (Virginia Tech, 2015-12-23)
    The driving risk of novice teenagers is the highest during the initial period after licensure but decreases rapidly. This dissertation develops recurrent-event change-point models to detect the time when driving risk decreases significantly for novice teenager drivers. The dissertation consists of three major parts: the first part applies recurrent-event change-point models with identical change-points for all subjects; the second part proposes models to allow change-points to vary among drivers by a hierarchical Bayesian finite mixture model; the third part develops a non-parametric Bayesian model with a Dirichlet process prior. In the first part, two recurrent-event change-point models to detect the time of change in driving risks are developed. The models are based on a non-homogeneous Poisson process with piecewise constant intensity functions. It is shown that the change-points only occur at the event times and the maximum likelihood estimators are consistent. The proposed models are applied to the Naturalistic Teenage Driving Study, which continuously recorded textit{in situ} driving behaviour of 42 novice teenage drivers for the first 18 months after licensure using sophisticated in-vehicle instrumentation. The results indicate that crash and near-crash rate decreases significantly after 73 hours of independent driving after licensure. The models in part one assume identical change-points for all drivers. However, several studies showed that different patterns of risk change over time might exist among the teenagers, which implies that the change-points might not be identical among drivers. In the second part, change-points are allowed to vary among drivers by a hierarchical Bayesian finite mixture model, considering that clusters exist among the teenagers. The prior for mixture proportions is a Dirichlet distribution and a Markov chain Monte Carlo algorithm is developed to sample from the posterior distributions. DIC is used to determine the best number of clusters. Based on the simulation study, the model gives fine results under different scenarios. For the Naturalist Teenage Driving Study data, three clusters exist among the teenagers: the change-points are 52.30, 108.99 and 150.20 hours of driving after first licensure correspondingly for the three clusters; the intensity rates increase for the first cluster while decrease for other two clusters; the change-point of the first cluster is the earliest and the average intensity rate is the highest. In the second part, model selection is conducted to determine the number of clusters. An alternative is the Bayesian non-parametric approach. In the third part, a Dirichlet process Mixture Model is proposed, where the change-points are assigned a Dirichlet process prior. A Markov chain Monte Carlo algorithm is developed to sample from the posterior distributions. Automatic clustering is expected based on change-points without specifying the number of latent clusters. Based on the Dirichlet process mixture model, three clusters exist among the teenage drivers for the Naturalistic Teenage Driving Study. The change-points of the three clusters are 96.31, 163.83, and 279.19 hours. The results provide critical information for safety education, safety countermeasure development, and Graduated Driver Licensing policy making.