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In biomedical research, events revealing complex relations between entities play an important role. Event trigger identification is a crucial and prerequisite step in the pipeline process of biomedical event extraction. There exist two main problems in the previous work: (1) Traditional feature-based methods often rely on human ingenuity, which is a time-consuming process. Though most representation-based...
Grain consumption projections are necessary inputs for developments in infrastructure as a means to ensure national food security. In this paper, firstly, we use time series analysis to forecast the key parameters affecting grain consumption in China in 2030 and 2050, and then we employ panel data analysis to estimate the long-run demand functions for feed grain in China across a range of scenarios...
Since the grid structure of 10kV distribution network has always been in a complex and chaotic state, this paper did some research to effectively standardize it. Firstly, the backbone grid and the secondary grid of 10kV distribution network are presented and defined. Then, based on the grid structure and functional characteristics of secondary grid, three types of analysis models are established to...
Inverse problems in nano-biomolecular circuits typically involve stochastic functional elements that admit non-linear relationships between different circuit variables. In this regard, a factor graph representation serves as an important visualization and analysis tool that can be used to compute inferences over an arbitrary large-scale biomolecular circuit. Solving the inverse problem using a factor...
We use the stochastic linearized Poisson-Boltzmann equation to model the fluctuations in nanowire field-effect biosensors due to changes in the orientation of the biomolecules. Different orientations of the biomolecules with respect to the sensor surface due to Brownian motion have different probabilities. The probabilities of the orientations are calculated from their electrostatic free energy. The...
This paper studies evaluation problem in psychological health. Based on the psychological dimensions and the actual evaluation work, we propose a kind of generalized linear regression model with convex constraint, named as Evaluation Model, in which the dependent variable and regression coefficients all are unknown. We analyze the algorithm of the model with linear regression method. Then the least...
Although there is considerable literature on optimal monetary policy for industrial countries, little research has been undertaken to investigate suitable monetary policy analysis framework for emerging countries that confront a different mix of shocks and have a fear of floating. This paper uses a New Keynesian model to simulate the quarterly data of 1996-2005 in China. Drawing on our econometric...
The water injection system of large-scale oilfield is a very complicated pressure system, which consists of several water injection stations connecting with each other. At present, the system suffers a couple of prevailing problems, for example, low injection efficiency and high power consumption, and the dispatching and optimization of the system operation serves as an important approach to solve...
By using the quarterly data of 1996-2005 in China, we use a dynamic stochastic general equilibrium modeling framework to compare the different design of monetary policy: an interest rate feedback rule and a money growth rule. Drawing on our econometric analysis, we argue that model, closed with interest rate feedback rule comes closer to the data. The paper also suggests to incorporate the sticky...
Poverty, a permanent problem in the society, is listed top-class global problem of social development by the United Nations. Grading the needy situation of impoverished families helps the government establish better policies, distribute resources more reasonably, and therefore provide aid more effectively. However, the traditional single-factor mode is not adequate, for poverty grade evaluation involves...
Device-level simulation capabilities have been developed to self-consistently model the Si-nanowire (NW) biosensor systems. Our numerical study demonstrates that by introducing electro-diffusion current flow in the electrolyte solutions, the electrostatic screening of the biological charge can be significantly suppressed; an improvement of the sensed signal strength by >ap10X is indicated. Based...
This paper constructs a dynamic stochastic general equilibrium (DSGE) model which incorporates money by MIU (Money-in-the-Utility Function) approach, and applies it to Chinese business cycle model analysis from 1996 to 2005. The comparison of simulation results and actual data implies that the model can reflect economic fluctuations. Quantitative analysis demonstrates that technology shock and money...
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