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Wet electrostatic agglomeration (WEA) is a very promising method in fine particle removal, however, it is still a challenging problem to avoid short-circuiting of the equipment caused by spraying water during traditional WEA. In this work, a novel WEA process based on a water film was established for the first time, and the fine particle removal and process mechanism were investigated. The influence of discharge and ground electrodes on the particle agglomeration performance was studied, indicating that a much better agglomeration performance was obtained by the spike plate (discharge electrode) thanks to the stronger electric field covering the entire agglomeration area. The corrosion-resistant and low-priced polyvinyl chloride (PVC) plate could significantly improve the water distribution effect after surface grooving modification, and its agglomeration as a grounding electrode under wet conditions was comparable to that of the wet metal plate. The mechanism of the water film enhanced WEA process lay in the fact that the high-voltage electric field greatly promotes the evaporation of the water film, which increased the humidity in the agglomeration space, resulting in liquid bridge force between the water-absorbing particles. In summary, this work provides an alternative novel idea for enhancing the agglomeration performance of the traditional WEA process.

The visual health of teenagers has become the focus of social attention. Good classroom light environment plays an important role in the growth process of teenagers. Classroom lamps are the key factor to build a good classroom light environment. This article is based on the existing common lambert body light distribution curve based on the classroom light building light environment, to further improve the classroom space illumination uniformity, visual comfort, and improve the utilization efficiency of the light, put forward a new type of classroom lamp light distribution curve, and space environment simulation, light type and lambert with comparing the classroom light building light environment, from data analysis, the classroom space uniformity, visual comfort and a considerable improvement of utilization rate of light and verify the feasibility of this kind of light distribution curve, for the construction of high-quality classroom light environment has the reality significance.

We consider a dynamic oligopoly on the beer market and study the differential effects of switching costs on product prices, market shares, and profits. Our demand estimation results show large differences in brand loyalty, and switching costs across customer income segments and beer brands. Our supply estimation results show that the low-quality firm experiences a higher competitive pressure on price since low-quality consumers are more price sensitive and switch more easily to the high-quality firm’s product than vice versa. The high-quality firm is better shielded from price competition, as its consumers are less likely to switch to the low-quality product.

Enterovirus A71 (EV-A71) is one of the main causative agents of hand, foot and mouth disease which seriously threatens young children's health and lives. However, there is no effective therapy currently available for treating these infections. Therefore, effective drugs to prevent and treat EV-A71 infections are urgently needed. Here, we identified Mulberroside C potently against the proliferation of EV-A71. The in-vitro anti-EV-A71 activity of Mulberroside C was assessed by cytopathic effect inhibition and viral plaque reduction assays, and the results showed that Mulberroside C significantly inhibited EV-A71 infection. The downstream assays affirmed that Mulberroside C inhibited viral protein and RNA synthesis. Furthermore, Mulberroside C effectively reduced clinical symptoms in EV-A71 infected mice and reduced mortality at higher concentrations. The mechanism study indicated that Mulberroside C bound to the hydrophobic pocket of viral capsid protein VP1, thereby preventing viral uncoating and genome release. Taken together, our study indicated that Mulberroside C could be a promising EV-A71 inhibitor and worth extensive preclinical investigation as a lead compound.

This paper deals with the spectral matching optimization by a group of narrowband high power LEDs to achieve the target spectrum required by plant growing, the correlation index is a key evaluation criteria, higher value of which is often difficult to achieve because of the poor performance of spectral matching algorithm. The bat algorithm is proposed as a spectral matching algorithm. Parameters of bat algorithm under high correlation index are selected by observing the parameter variation tendency in the spectral matching simulation. In the experimental verification, 2 kinds of control circuit are used to match the target spectrum. Experimental results shows that appropriate parameter groups of bat algorithm must select based on their relationship with the correlation index. In practical experiment, the optimal correlation index is 0.70±0.05 under conditions of 3 selected bat algorithm parameter groups. It is of significance to plant lighting in the engineering practice exploratory.

Traditional Electric Power Data Network (EPDN) device tests are implied manually with the testing resources utilized separately. Such way of testing is of low efficiency and is difficult for the management of device resources. With the rapid increase of testing tasks in the future, improving the test efficiency and the resource utilization is of great importance to the development of EPDN. In this article, we propose a novel automated test framework for EPDN. In particular, we abstracts the related knowledge from data of real world experimental resources and testing business, based on the extracted knowledge, we combine virtualization technology with automated testing technology and software quality management, and proposes an automated test framework with unified scheduling of testing resources. The proposed framework is evaluated with the task of route flapping testing. The provided test flow and test results prove the feasibility and the effectiveness of the proposed framework.

Presentation ID 16724

In the economic dispatch and optimal operation of power system, it is necessary and effective to consider the correlation among heat load, power load and wind power output to formulate a reasonable dispatch plan or to evaluate the reliability of the system. Therefore, based on the theory of Copula correlation analysis, a multivariate Copula analysis toolbox (MvCAT) is proposed to infer Copula parameters and estimate potential uncertainties. Firstly, the mixed evolution Markov Chain Monte Carlo (MCMC) method in Bayes framework calculates the posterior distribution of Copula parameters, evaluate their uncertainties relative to fitting, and then select the appropriate Copula function by goodness-of-fit test. Finally, a the typical daily data of a province as samples for analysis, proposed method solves the limitation that the local optimization method often falls into the local minimum, and quantitative evaluation of the correlation between the response variables and the uncertainty associated with the length of the recorded data is essential for multivariate frequency analysis.

A novel 2&prime, F,4&prime, C-OMe&ndash, arabinouridine (araU) was successfully synthesized and introduced into oligonucleotides. The oligonucleotide containing 2&prime, araU exhibited improved nuclease resistance and RNA hybridizing selective ability relative to 2&prime, F&ndash, araU. In particular, when 2&prime, araU inserted into C&ndash, H⋯F&ndash, C bonding-favorable 5&prime, &ndash, uridine&ndash, purine&ndash, 3&prime, steps, the modified oligonucleotide showed remarkable binding affinity and selectivity to RNA complements. Thus, 2&prime, araU has valuable antisense properties and can be used as novel chemical modification for antisense therapeutic strategy.

For the limited power capacity problem of single photoconductive antenna,we use photoconductive antenna power combining technology to research high power and ultra-broadband terahertz radiation. By constructing a power combining system of three-way photoconductive antenna,using500 μm aperture dipole photoconductive antenna as the object,we studied the power combining technology. When the optical path differences of terahertz emitted by three-way 500 μm aperture photoconductive dipole antenna are the same,the power combined time-domain spectral reaches to maximum peak,the degree of temporal coherence up to 90. 6%,the output power of terahertz is improved efficiently.

With the installed capacity of Liaoning's wind power reaching 8 million kW, wind turbines' daily maximum load and generating capacity repeatedly set new records now and then, which have some impacts on Liaoning's power grid in terms of peak regulation, voltage stability and frequency control. This paper starts from the characteristics of wind power and wind resource in Liaoning province. It brings forward some concrete measures in light of the operating conditions of Liaoning Power grid, which guarantee operational security and stability of the power grid while improving the grid's wind power accommodation capacity as much as possible.

With constant development of power grid, power grid security and stability analysis develops from offline to online mode gradually. The dispatching and control department at or above the provincial level in China have already deployed online security and stability analysis system. The system contains many functions such as static, transient, dynamic, voltage, frequency, small signal stability computing and short-circuit current computing. This paper analyzes the present situation of online security and stability analysis system at home and abroad. This paper proposes that online security and stability analysis system should be integrated with systems such as dispatching operation order, emergency command system, contingency plan management system, power grid risk assessment system and automatic generation control (AGC). It extends the application of online security analysis in Liaoning power grid dispatching system. Finally, this paper analyzes the necessity of integrating online security and stability analysis system into maintenance plan system, wind power and photovoltaic power control system, and dispatcher training system (DTS). The paper also envisages development on building online security and stability analysis integration computing platform and using PMU data to check online basic data.

Statistically, power grid accidents are inevitable. The larger the scale of a power grid, the more probably a power grid accident will occur. Preventing a power grid accident as soon as possible from occurring and handling the accident in a most efficient and quick way are two important topics to power grid dispatchers. This paper analyses in detail the causes of grid accidents such as tripping of above 220 kV lines of Liaoning Power Grid using big data statistics method, and finds some objective laws, which would help Liaoning Power Grid and other power grids in safe operation and scientific management.

As a kind of clean energy, wind power has gained rapid development in recent years. Liaoning Province has abundant wind resources and the total installed capacity of wind power is in the forefront. With the large-scale wind power grid-connected operation, the contradiction between wind power utilization and peak load regulation of power grid has been more prominent. To this point, starting with the power structure and power grid installation situation of Liaoning power grid, the distribution and the space-time output characteristics of wind farm, the prediction accuracy, the curtailment and the off-grid situation of wind power are analyzed. Based on the deep analysis of the seasonal characteristics of power network load, the composition and distribution of main load are presented. Aiming at the problem between the acceptance of wind power and power grid adjustment, the scheduling strategies are given, including unit maintenance scheduling, spinning reserve, energy storage equipment settings by the analysis of the operation characteristics and the response time of thermal power units and hydroelectric units, which can meet the demand of wind power acceptance and provide a solution to improve the level of power grid dispatching.

Large-scale access of distributed power can improve the current environmental pressure, at the same time, increasing the complexity and uncertainty of overall distribution system. Rational planning of distributed power can effectively improve the system voltage level. To this point, the specific impact on distribution network power quality caused by the access of typical distributed power was analyzed and from the point of improving the learning factor and the inertia weight, an improved particle swarm optimization algorithm (IPSO) was proposed which could solve distributed generation planning for distribution network to improve the local and global search performance of the algorithm. Results show that the proposed method can well reduce the system network loss and improve the economic performance of system operation with distributed generation.

A method of Radial Basis Function neural network-based Model Predictive Control (RBF-MPC) for freeway traffic systems is proposed in this paper. Because of nonlinearity and uncertainty of freeway traffic flow, an accurate mathematics model cannot be obtained. Therefore, RBF neural networks employed to predict the future behaviours of freeway traffic flow are designed based on the MATLAB neural network toolbox. Then, to handle nonlinearity, time delay, uncertainty and strong disturbance, RBF-MPC for ramp metering is proposed. A Genetic Algorithm (GA) is used in the receding horizon optimisation. Compared with the no-control case and optimal-control case, the simulation results demonstrate that the proposed approach can alleviate traffic jams and increase main road capacity; thus the efficiency of freeway traffic is improved tremendously.