Economic Adjustment in the Aftermath of 2008 Financial Crisis: A Case Study on the Chinese Economy under the Stimulus Package

The Chinese economy has been increasingly integrated into the global market, and thus has been severely hit by the outbreak of the Global financial crisis. With the introduction of the stimulus package that was launched in 2008, the economy has been affected by the stimulus package and the changes in macroeconomic policy significantly. The aim of the research is to provide a thorough analysis and assessment of the effects of the package on the economy, and possible policy recommendations and insights to the future development pattern will be provided in the thesis

A First-Order Transient Response Model for Lithium-ion Batteries of Various Chemistries: Test Data and Model Validation

In this report, a first-order transient response battery model is presented. The model can be utilized in the simulation of electric vehicles to calculate the battery voltage for dynamic operation of an electric-hybrid vehicle on various driving cycles. The battery model requires knowledge of the battery Ah capacity, the hyst-SOC-OCV curve and parameters of the equivalent circuit (R0, R1, tau1). A number of lithium-ion cells of the different chemistries were tested on charge / discharge step current profiles to determine the circuit parameters for a series of states-of-charge. The cells were then tested on the MHC and DST variable current profiles to determine how well the model predicted the response of the cells to the dynamic profiles. For DST test, the output voltages from the model for all the eight cells tested followed the test voltages well with the errors being relatively small –usually less than 20mV – except for SOC near to 1 and O. For MHC profile, the tests were performed at a nearly fixed SOC and the errors were particularly small. The study shows that over most of the useable state-of-charge range, the first-order transient model can be applied to predict the voltage response of lithium-ion batteries to dynamic charge and discharge currents encountered in vehicle applications

Description of Shale Pore Fracture Structure Based on Multi-fractal Theory

In order to describe the shale-fissure's structure and distribution accurately, this paper combines with complex features of shale rock mass' multilevel micro-scale fissure network, putting forward that utilizing the multi-fractal method to describe the distribution of fissures with different dimensions. By choosing some oil field's block shale samples, obtain the fissure distribution characteristics by CT scanning and calculate with the multi-fractal theory, the results show that the shale rock mass' fissure distribute in a multiple-fractal regularity. The study results lay a solid foundation of subsequent press shale fissure network's formation and description

Detecting Events From Twitter In Real-Time

Twitter is one of the most popular online social networking sites. It provides a unique and novel venue of publishing: it has over 500 million active users around the globe; tweets are brief, limited to 140 characters, an ideal way for people to publish spontaneously. As a result, Twitter has the short delays in reflecting what its users perceive, compared to other venues such as blogs and product reviews. We design and implement SportSense, which exploits Twitter users as human sensors of the physical world to detect major events in real-time. Using the National Football League (NFL) games as a targeted domain, we report in-depth studies of the delay and trend of tweets, and their dependence on other properties. We present event detection method based on these findings, and demonstrate that it can effectively and accurately extract major game events using open access Twitter data. SportSense has been evolving during the 2010-11 and 2011-12 NFL seasons and it has been collecting hundreds of millions tweets. We provide SportSense API for developers to use our system to create Twitter-enabled applications

Single-Cell Massively Parallel Reporter Assays

Our understanding of gene regulation needs to be generalizable as well as specific. A generalizable understanding enables us to transfer our knowledge of one gene to another, and the specificity allows us to understand the precise regulation of gene expression through development. One framework that confers generalizability and specificity is the hierarchical and modular model of gene regulation. To test whether gene regulation is hierarchical and modular requires methods to systematically analyze how different factors collectively control gene expression. This thesis describes the development of two functional genomics methods at single-cell resolution. These methods systematically examined how cellular contexts, chromatin environment, and local regulatory sequence collectively control expression mean and noise. First, scMPRA measures cell-type specific expression of a library of core promoters in K562 and HEK 293 cell lines. scMPRA can also be applied to a complex tissue and performed MPRA ex vivo. Both general principles of gene expression and cell-type specific variant effects are found in the newborn mouse retina. scMPRA also measured the cell substate effect on expression mean, I found that cell substate has a large and general effect on expression mean for core promoters. I also deconvolved the extrinsic and intrinsic portion of expression noise, we found that developmental core promoters have larger extrinsic noise. Second, scTRIP measures the chromatin environment effect on expression noise. We found expression noise can be partially explained by expression noise. We also found the expression noise that is independent of expression mean is correlated with specific chromatin marks and transcription factor binding sites. Moreover, we identified the oscillation between cell substates as a major source of extrinsic noise regardless of the chromatin environment. Using all the information, we trained a logistic regression model with high accuracy. These observations and methods provide a framework to further explore the hierarchical and modular nature of gene regulation