KMT-2017-BLG-0165Lb: A Super-Neptune-mass Planet Orbiting a Sun-like Host Star

Kil Jung, Youn,Gould, Andrew,Zang, Weicheng,Hwang, Kyu-Ha,Ryu, Yoon-Hyun,Han, Cheongho,Yee, Jennifer C.,Albrow, Michael D.,Chung, Sun-Ju,Shin, In-Gu,Shvartzvald, Yossi,Zhu, Wei,Cha, Sang-Mok,Kim, Dong American Astronomical Society 2019 The Astronomical journal Vol.157 No.2

A Study on Canadian-Sino Trade and Investment

Sun Zhong Wei(Zhong Wei Sun) 한국캐나다학회 2007 Asia-Pacific Journal of Canadian Studies (APJCS) Vol.13 No.1

Foreign trade and FDI(foreign direct investment) are the two routes to take part in the world economy competition and cooperation. This paper researches mainly on Canada’s foreign trade with China and Canada’s FDI in China. After reviewing China and Canada’s foreign trade and investment respectively, this paper concentrates on Canadian-Sino trade and Canada’s FDI in China. Under rapid growth of Canadian-Sino trade, the goods structure has changed along with China’s industrialization and development. This provides Canada a big opportunity and Challenge at the same time. At the back of soaring increase of Canada’s FDI in China, this paper does further research on the relation between Canada’s FDI in China and Canadian-Sino trade. By empirical analysis, the conclusion is paradox that the increase of Canada’s FDI in China leads to the decrease of the bilateral trade. Based on theory of OLI, this paper analyzes the reason that the fields of Canadian-Sino trade are different to the fields which Canada invested in China, and at the same time, explain the paradox well. This paper also predicts the future of Canadian-Sino trade and investment and gives some advices to Canada. At the end of this paper, some conclusions are drawn.

An Analyzing Method of Coupled Modes in Multi-Stage Planetary Gear System

Wei Sun,Jing Wei,Xin Ding,Xinglong Hu,Qingguo Wang 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.

This paper analyzed the natural frequency and coupled mode characteristics in multi-stage planetary gear system. A dynamic modelof multi-stage planetary gears with general description is established based on the lumped mass method. Solving the associatedeigenvalue problem, the vibration modes of the system with identical, equally spaced planets are classified into rotational,translational and planet modes with unique properties. A criterion to distinguish the dominant vibration stage for the two coupledmode types, rotational mode and translational mode, are provided by comparing the eigensensitivity to the component parametersof different planetary stages. Taken the dominant vibration stage as an independent single-stage planetary gear system, the naturalfrequencies and vibration modes are observed to be similar to the multi-stage. It is shown that the coupling in the multi-stageplanetary gear system grows as the frequency reduces. In rotational modes and translational modes, the highest eigensensitivity tomesh stiffness and planet bearing stiffness of each stage are associated with different frequencies in the higher-frequency range, whilethe highest eigensensitivity to bearing stiffness of carriers, rings, and suns occurred in the lower-frequency range.

A Study on Rotor Profiles Design for a Novel Twinscrew Kneader

Jing Wei,Qingchao Sun,Xujian Sun,Wei Sun 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.

The profile curve design method and the mathematical model of conjugate surfaces of twin-screw kneader used for high viscosity material mixing, transportation and malaxating are established according to the principle of gear engagement. A novel twin-screw kneader and the equations of the profile curves of the rotors as well as the rotor design are proposed. The working principles of the twin screw kneader are analyzed and numerical simulations for dynamic characteristics of the flow field are carried out Threedimensional,isothermal and steady state numerical analysis of a non-Newtonian fluid are presented, based on computational fluid dynamics (CFD) theory, and the characteristics under the conditions of different speeds and center distances are studied, such as pressure distributions, velocity fields, the maximum shear stresses and the mass flow rates. The results provide a theoretical basis for performance predictions and reasonable design for the novel twin-screw kneader.

Evaluation of Airport Capacity through Agent Based Simulation

Yang Peng,Gao Wei,Sun Junqing,Sun Bin 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.6

The operational capacity of an airport must be dimensioned under a long-term strategic view as its productivity is determined by available infrastructure. To predict the airport capacity and satisfy the domestic airport property, the operation procedure of airport is analyzed from the point of Multi-agent system. The proposed agent based architecture is a microscopic model of aircrafts' movement; each aircraft is represented as an agent capable of getting its routing results from instructing agent, and makes its own deconflicition decisions on the basis of a part of the observable scene local to that aircraft. An example of airport capacity evaluation is given, and the result is verified through comparison with SIMMOD. Finally, further research is applied to analysis the reason for delay.

Electrochemical Behaviors of Hydroquinone on a Carbon Paste Electrode with Ionic Liquid as Binder

Wei Sun*,Qiang Jiang,Maoxia Yang,Kui Jiao 대한화학회 2008 Bulletin of the Korean Chemical Society Vol.29 No.5

In this paper the electrochemical behaviors of hydroquinone (H₂Q) were investigated on a carbon paste electrode using room temperature ionic liquid N-butylpyridinium hexafluorophosphate (BPPF6) as binder (IL-CPE) and further applied to H₂Q determination. In pH 2.5 phosphate buffer solution (PBS), the electrochemical response of H₂Q was greatly improved on the IL-CPE with a pair of well-defined quasi-reversible redox peaks appeared, which was attributed to the electrocatalytic activity of IL-CPE to the H₂Q. The redox peak potentials were located at 0.340 V (Epa) and 0.240 V (Epc) (vs. the saturated calomel electrode, SCE), respectively. The formal potential (E0') was calculated as 0.290 V and the peak-to-peak separation (DEp) was 0.100 V. The electrochemical parameters of H₂Q on the IL-CPE were further calculated by cyclic voltammetry. Under the selected conditions the anodic peak current was linear with H₂Q concentration over the range from 5.0 10-6 to 5.0 10-3 mol L-¹ with the detection limit as 2.5 10-6 mol L-¹ (3s ) by cyclic voltammetry. The proposed method was successful applied to determination of H2Q content in a synthetic wastewater sample without the interferences of commonly coexisting substances.

Electrochemistry of Hemoglobin in the Chitosan and TiO2 Nanoparticles Composite Film Modified Carbon Ionic Liquid Electrode and Its Electrocatalysis

Wei Sun,Xiaoqing Li,Shufeng Liu,Kui Jiao 대한화학회 2009 Bulletin of the Korean Chemical Society Vol.30 No.3

Direct electron transfer of hemoglobin (Hb) in the chitosan (CTS) and TiO2 nanoparticles (nano-TiO2) composite films was achieved by using a room temperature ionic liquid of 1-butyl-3-methylimidazolium hexafluorophosphate (BMIMPF6) modified carbon paste electrode (CILE) as the basal electrode. UV-Vis and FT-IR spectroscopy indicated that Hb in the film retained the native structure. Electrochemical investigation indicated that a pair of well-defined quasi-reversible redox peaks of Hb heme Fe(III)/Fe(II) was obtained with the formal potential located at -0.340 V (νs. SCE) in pH 7.0 phosphate buffer solution (PBS). The electrochemical parameters such as the electron transfer coefficient (α), the electron transfer number (n) and the standard electron transfer rate constant (ks) were got as 0.422, 0.93 and 0.117 s-1, respectively. The fabricated CTS/nano-TiO2/Hb/CILE showed good electrocatalytic ability to the reduction of trichloroacetic acid (TCA) and hydrogen peroxide (H2O2), which exhibited a potential application in fabricating a new kind of third generation biosensor.

The quest for genes conferring risk of endometriosis : Why there are so much heat but not much light?

( Sun-wei Guo ) 대한산부인과학회 2019 대한산부인과학회 학술대회 Vol.105 No.-

In the last two decades, numerous genetic association studies, including genome-wide genetic association studies, aimed to identify DNA variants conferring risk of endometriosis have been published and many polymorphisms have been identified. However, each and every one of the identified polymorphism invariably has a small, even miniscule, effect on the risk of developing endometriosis, explaining merely a minute percentage of the heritability. More disconcertingly, these publications have so far contributed little, if any, to our understanding of the pathogenesis or pathophysiology of endometriosis. As with many other complex diseases or traits, there have been a glaring gap between the estimated heritability of the disease and the disease risk variability that can be explained by the identified DNA variants, a phenomenon called “the missing heritability”. In this talk, I shall first provide a primer on genetic studies of complex diseases such as endometriosis, explaining the methods for demonstration of genetic components for a disease, and methods to identify the genes or genetic variants, and then provide some explanations as why there are so much heat but not much light in this field.

Performance analysis of the two-stage axial compressor with 90-degree bend inlet conditions

Wei Sun,Tong Wang 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.12

The 90-degree bend is one of the basic connection components applied in industrial flowing systems. This bend influences the aerodynamic performance of the downstream connecting equipment. In this study, the performance of a two-stage axial compressor with a 90-degree bend inlet was numerically and experimentally analyzed under low rotating speed. The testing results show that the outflow of the bend was numerically non-uniform in the circumferential and radial directions. To analyze the performance influence of the bend on the downstream compressor, a full passage compressor model with and without the inlet bend was simulated. The size of the distortion region gradually spread to the entire cascade, and the intensity of the distortion obviously dropped after the first stage as the compressor ran with the bend. The deterioration of the compressor performance, especially in the first stage, was verified numerically and experimentally. The total pressure coefficient and isentropic efficiency decreased by 2.6 % and 1.13 %, respectively. To save simulation cost, a model with a downstream single blade passage and cylindrical inlet was proposed, and the distorted flow was set as the inlet boundary condition. In addition, the unsteady numerical simulation was performed with the rotating inlet distortion region. Compared with the full blade passage model, the unsteady single blade passage model obtained the downstream spread characteristic of the distortion and performance deterioration. The latter can therefore be suggested as a compromised approach for obtaining the propagation characteristics of the inlet distortion with acceptable accuracy and low computational cost.

Prediction of carbon dioxide emissions based on principal component analysis with regularized extreme learning machine

Wei Sun,Jingyi Sun 대한환경공학회 2017 Environmental Engineering Research Vol.22 No.3

Nowadays, with the burgeoning development of economy, CO2 emissions increase rapidly in China. It has become a common concern to seek effective methods to forecast CO2 emissions and put forward the targeted reduction measures. This paper proposes a novel hybrid model combined principal component analysis (PCA) with regularized extreme learning machine (RELM) to make CO2 emissions prediction based on the data from 1978 to 2014 in China. First eleven variables are selected on the basis of Pearson coefficient test. Partial autocorrelation function (PACF) is utilized to determine the lag phases of historical CO2 emissions so as to improve the rationality of input selection. Then PCA is employed to reduce the dimensionality of the influential factors. Finally RELM is applied to forecast CO2 emissions. According to the modeling results, the proposed model outperforms a single RELM model, extreme learning machine (ELM), back propagation neural network (BPNN), GM(1,1) and Logistic model in terms of errors. Moreover, it can be clearly seen that ELM-based approaches save more computing time than BPNN. Therefore the developed model is a promising technique in terms of forecasting accuracy and computing efficiency for CO2 emission prediction.