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The present research aims to establish a quantitative relation between microstructure and chemical composition （i.e., Ti, Al, and Nb） of newly designed nickel-based superalloys. This research attempts to identify an optimum microstructure at which the minimum quanti- fies of γ/γ＇ and γ/γ＂ compounds are achieved and the best castability is predicted. The results demonstrate that the highest quantity of inter- metallic eutectics （i.e., 41.5wt%） is formed at 9.8wt% （Ti ＋ A1）. A significant quantity of intermetallics formed in superalloy 1 （with a com- position of7 - 9.8wt% （Ti ＋ A1））, which can deteriorate its castability. The type and morphology of the eutectics changed and the amount considerably decreased with decreasing Ti ＋ A1 content in superalloy 2 （with a composition ofy - 7.6wt% （Ti ＋ A1）, 1.Swt% Nb）. Thus, it is predicted that the castability would improve for superalloy 2. The same trend was observed for superalloy 4 （with a composition of 7 - 3.7wt% （Ti ＋ A1）, 4.4wt% Nb）. This means that the amount of Laves increases with increasing Nb （to 4.4wt%） and decreasing Ti ＋ A1 （to 3.7wt%） in su- peralloy 4. The best castability was predicted for superalloy 3 （with a composition ofy - 5.7wt% （Ti ＋ A1）, 2.8wt% Nb）.

Estimation of domestic and overseas value-added of manufacturing sector is an important and difficult subject for the science-based evaluation of a country＇s trade interests under global value chain. Traditional HIY approach overestimates the domestic value- added of export. Although Koopman＇s method made certain improvements, it cannot utilize traditional I/O matrix and direct input coefficient matrix under the condition of incomplete information. By creating GAMS model, this paper addresses the above-mentioned problems and employs an improved model for the estimation of variations in domestic and overseas value-added of Chinese exports between 2002 and 2012. Our results indicate that by neglecting the export of processing trade, HIY approach overestimates the domestic value- added ratio of Chinese exports. As more imported intermediate inputs have been used in the export of processing trade, the estimation result of this paper have corrected deviations in the forecast of overseas value-added ratio and its tendencies based on HIY method Further analysis of specific factors of domestic value-added of export led to the discovery that the domestic value-added of export of processing trade and mixed trade is highly vulnerable to the impact of international capital inflow. It can be seen that the improved method for the estimation of value-added has indeed corrected the deviations in the estimation of China＇s value-added. In conclusion, China should accelerate the development of export of non- processing trade and trade in high-end services, and balance the relationship of export between local firms and foreign-funded firms, with a view to improving trade dependence and increasing the trade status of Chinese manufaeturing firms in global value chain.

This paper sets up a simplified dynamic discrete selection model to analyze two-stage decision of corporate export behavior and influence of exchange rate under the framework of profit maximization. Then we adopt Heckman selection model to estimate general effects and structural effects of RMB appreciation on export based on the sample data of China Industrial Enterprises from 2005 to 2009. Findings reveal that RMB appreciation has exerted a significant negative impact to corporate export through extensive margins and intensive margins. Meanwhile, due to different corporate strategies of heterogeneous enterprises, RMB appreciation cannot achieve the expected effect of ＂survival of the fittest＂ and is instead unfavorable to the optimization of export structure. RMB appreciatiou drives industry structure of export to evolve towards advanced levels to a certain extent. However, such a positive effect mainly derives from the contribution of foreign-funded enterprises while restricting development space of indigenous firms in the sector of advanced manufacturing.

This paper investigates the impact of innovation on export decisions of Chinese high-tech firms during the period of 2005–2007. Using a parametric, instrumental variable approach and a non-parametric matching method, we find that firm-level innovation efforts, measured by R&D spending and new product output, play only a minor role for domestic exporters. Foreign-invested firms dominate the high-tech exports but do not rely on indigenous innovation activities. These results demonstrate that the success of Chinese high-tech exports does not result from heavy R&D expenditure and technological progress. Moreover, different types of innovation measures show different impacts on the likelihood of exporting. The impacts of innovation on exporting vary widely across industries and Chinese regions.

A refrigerant mixture TJR02 was developed and the comparison experiment was performed on a single- stage vapor compression refrigeration system originally designed for R22. Experimental results show that TJR02 can be directly used in the system without modifying the original system or changing lubricant. By replacing R22 with TJR02, cooling rate gets faster and at least 20% of energy is saved. The actual detection in the standard test-bed veri- fies the experimental results and indicates that the adoption of TJR02 leads to greater efficiency and wider application. And the lower the refrigeratory temperature is, the more obvious the energy saving effects will be.

Since years, online social networks have evolved from profile and communication websites to online portals where people interact with each other, share and consume multimedia-enriched data and play different types of games. Due to the immense popularity of these online games and their huge revenue potential, the number of these games increases every day, resulting in a current offering of thousands of online social games. In this paper, the applicability of neighborhood-based collaborative filtering （CF） algorithms for the recommendation of online social games is evaluated. This evaluation is based on a large dataset of an online social gaming platform containing game ratings （explicit data） and online gaming behavior （implicit data） of millions of active users. Several similarity metrics were implemented and evaluated on the explicit data, implicit data and a combination thereof. It is shown that the neighborhood-based CF algorithms greatly outperform the content-based algorithm, currently often used on online social gaming websites. The reslflts also show that a combined approach, fie, taking into account both implicit and explicit data at the same time, yields overall good results on all evaluation metrics for all scenarios, while only slightly performing worse compared to the strengths of the explicit or implicit only approaches. The best performing algorithms have been implemented in a live setup of the online game platform.

Since 1978, China＇s reform of real estate tax has made great strides with important milestones marked by the resumption of real estate tax collection on Chinese- funded enterprises and Chinese nationals. In the llth Five-Year Plan period （2006-2010）, the state administration completed the unification of tax rates for domestic and foreign- funded companies. However, the reform of real estate tax still requires many modifications during the 12th Five-Year Plan period （2011-2015）. The new plan should strive to streamline the tax system, adjust the tax base and tax rates, and delegate taxing authority.

On the sidelines of the Belt and Road Forum for International Cooperation, AKP Mochtan, Deputy Secretary General of ASEAN for Community and Corporate Affairs, talked to Beijing Review reporter Li Nan about the Belt and Road Initiative and China-ASEAN ties. The following is an edited version of the interview.