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This paper aims to better control the mechanical properties and functional properties of NiTi alloy.

NiTi alloy samples with equal atomic ratio were formed by selective laser melting (SLM). X-ray diffraction (XRD), differential scanning calorimetry (DSC), scanning electron microscopy and tensile testing methods were used to study the effects of different laser power and scanning speed on the densification behavior, phase transformation characteristics and mechanical properties of NiTi alloy.

Compared with the laser power, the variation of the keyhole effect caused by the change of scanning speed is more intense, which has a greater effect on the densification behavior of SLM NiTi alloy. The effect of the laser power on the phase transition temperature is small. The increase of scanning speed weakens the burning degree of Ni element, so phase transition temperature decreases. The results of DSC test and tensile test show that the scanning velocity can significantly change the phase transition temperature, martensite twins reorientation and stress–strain behavior of SLM NiTi alloy.

This study provides a potential method to regulate the mechanical properties and functional properties of NiTi shape memory alloy in the future and NiTi alloys formed by SLM with good elongation were obtained because the Supercellular crystal structure formed during the nonequilibrium solidification of SLM and the superfine precipitates dispersed in the alloy prevented the dislocation formation.

This study investigates consumers' willingness to pay for product attributes of domestically grown fruit and vegetable products.

Conjoint Analysis and Random Utility Model

Our empirical results show that the willingness to pay for attributes of products are different within groups with different education levels. For respondents who had higher education level, the priority concern for purchasing fruits and vegetables was safety. However, for respondents who had lower education level, the priority of concern was freshness. Regarding environmental awareness, consumers with higher education levels preferred the reduction of pollution more than ecological balance. For intellectual culture, consumers of higher education preferred cultural specialty packaging / labeling, more than described endemic life. Consumers with a lower education preferred endemic life presentation.

This research provides important information regarding consumers’ preference for different attributes of locally grown vegetables and fruits. Using this information, marketing strategies and policy measures to support the consumption of locally grown fruits and vegetables are implemented.

The purpose of this study is to assess the impact of rising food prices on food demand and nutrient intake among rural–urban migrants and whether such impact varies across income classes.

Using data from the China Health and Nutrition Survey (CHNS), this study adopts a quadratic almost ideal demand system (QUAIDS) for food demand elasticity and an indirect estimation method for nutrient elasticity to investigate the effects of rising food prices on food demand and nutrient intake among rural–urban migrants.

The estimated results indicate that an increase in the price of pork alone would lead to a larger reduction in most nutrients among rural–urban migrants than other single targeted food group, and a simultaneous rise in the price of all food groups would have a remarkably adverse effect on the nutritional status of rural–urban migrants in comparison to the nutritional effects of a rise in one targeted food group. In addition, the nutritional effects of food prices across income classes show that the nutritional status is particularly vulnerable to rising food prices among low-income rural–urban migrants.

This paper focuses on analyzing the impact of rising food prices on the nutritional status of rural–urban migrants, a topic that is very limited in the literature. This study provides a fresh look at the effect of volatile food prices on food demand and nutrient intake among rural–urban migrants. The results indicate that income growth would have a remarkable positive effect on nutrient intake for rural–urban migrants, especially for low-income rural–urban migrants. However, an increment in nutrients due to a growth in income would not be far from enough to cover the reduction in nutrients as a result of a simultaneous rise in price of all the studied food categories at the same rate.

The purpose of this paper is to offer an overview of dietary transition patterns and a discussion of the food-related health issues in China.

The paper builds on a review of the existing literature on food consumption and diet changes in China, and highlights with specific attention to increasing food consumed away from home, the rising demand for fast and processed foods, and the popularizing of western-style foods in Chinese diets.

China’s food consumption patterns rapidly transitioned from one in which grains and vegetables dominated to one having more animal products and more diversification. More foods are consumed away from home and in the form of fast and processed. Income growth played and will continue to play a critical role in shifting the structure of food consumption. On the other hand, China is on a fast track from a lean population to one in which being overweight or obese. The associations between health outputs and food transitions, however, are inconclusive.

The main findings of this study have implications for better understanding the key trends and driving forces of China’s food demand system. Moreover, the results from this review are essential for food-related policymaking in many emerging economies where coexistence of undernutrition, deficiency of micronutrients and overweight and obesity is a common challenge to the society and individual households.

The purpose of this paper is to examine the discharge volume of domestic solid waste in rural China and to explore the potential impact of various factors that contribute to it.

The data used in this study come from a large-scale field survey conducted in six Chinese provinces. Based on the collected survey data, econometric model on the determinants of domestic solid waste discharge was constructed and used for analysis.

Results from the study show that the per capita daily discharge of rural domestic solid waste was close to 1 kg in 2010, slightly less than the urban level of 1.2 kg. Results from descriptive statistical analysis and econometric estimation indicate that by implementing selected policy measures, the discharge of solid waste can be significantly reduced. In addition, the discharge of domestic solid waste is also closely related with local socio-economic development. In particular, the results show an obvious inverted U-shaped curve between discharge volume and income. The increase of off-farm labor opportunities would also reduce solid waste discharge in rural China.

This paper focuses on domestic solid waste discharge and its determinants in rural China, a research area very important but seldom reported.

The purpose of this paper is to analyze the income sensitivity of food consumption in Beijing, China, using an original household survey data set collected by the Chinese Academy of Sciences.

An Engel curve model is fit to the household data of nine food categories and 35 food items, and both conditional and unconditional expenditure elasticities of demand are calculated and reported for the nine food groups and the 35 food items.

Working's model fits the data well, and the elasticity estimates are all reasonable in terms of economic theory, size and signs. The results indicate a relative large range in income sensitivity among the nine food groups and 35 food items in response to changes in household food expenditure levels.

The research analyzes unique and rich urban household survey data collected by the Chinese Academy of Sciences and is the most comprehensive analysis to date in terms of the number of food items studied for which expenditure elasticities are calculated. These elasticities may be used to study household food consumption patterns, to calculate caloric or nutrient elasticities, to study obesity in China, to study policy prescriptions in terms of taxes and subsidies on food, to infer welfare and affluence, and may be used as inputs into econometric models such as those used by the World Bank, IFPRI, and others.

The impact of dietary changes associated with urbanization is likely to increase the demand for land for food production. The purpose of this paper is to examine the impact of urban economic development on changes in food demand and associated land requirements for food production.

Based on economic estimates from the Almost Ideal Demand System, feed conversion ratios, and crop yields, the authors forecast and compare future dietary patterns and land requirements for two types of urban diets in China.

The results show that the expenditure elasticities of oil and fat, meat, eggs, aquatic products, dairy, and liquor for the diet of capital cities are greater than those for the diet of small- and medium-sized cities. The authors forecast that capital city residents will experience a more rapid rate of increase in per capita demand of meat, eggs, and aquatic products, which will lead to much higher per capita land requirements. Projections indicate that total per capita land demand for food production in capital cities will increase by 9.3 percent, from 1,402 to 1,533 m2 between 2010 and 2030, while total per capita land demand in small- and medium-sized cities will increase only by 5.3 percent, from 1,192 to 1,255 m2.

The results imply that urban economic development can significantly affect the final outcomes of land requirements for food production. Urban economic development is expected to accelerate the rate of change toward an affluent diet, which can lead to much higher future land requirements.

Resource scheduling is the study of how to effectively measure, evaluate, analyze, and dispatch resources in order to meet the demands of corresponding tasks. Aiming at the problem of resource scheduling in the private cloud environment, the purpose of this paper is to propose a resource scheduling approach from an efficiency priority point of view.

To measure the computational efficiencies for the resource nodes in a private cloud environment, the data envelopment analysis (DEA) approach is incorporated and a suitable DEA model is proposed. Then, based on the efficiency scores calculated by the proposed DEA model for the resource nodes, the 0-1 programming technique is introduced to build a simple resource scheduling model.

The proposed DEA model not only has the ability of ranking all the decision-making units into different positions but also can handle non-discretionary inputs and undesirable outputs when evaluating the resource nodes. Furthermore, the resource scheduling model can generate for the calculation tasks an optimal resource scheduling scheme that has the highest total computational efficiency.

The proposed method may also be used in studies of resource scheduling studies in the environments of public clouds and hybrid clouds.

The proposed approach can achieve the goal of resource scheduling in private cloud computing platforms by attaining the highest total computational efficiency, which is very significant in practice.

This paper uses an efficiency priority point of view to solve the problem of resource scheduling in private cloud environments.

The purpose of this paper is to investigate the retailer’s strategy of information sharing in a green supply chain with promotional effort, and the impact of information sharing on the decisions and profits of the manufacturer and the retailer.

The developed models aim to maximize the profits of the manufacturer, the retailer and the green supply chain system. The game theory is used to obtain the equilibrium solutions of both the manufacturer and the retailer. A two-part compensation (TPC) contract is designed to motivate the retailer to share information with the retailer. Numerical examples are used to show the impact of parameters on decisions by Matlab 2014.

The results show that the green degree increases while the promotional effort level decreases when the manufacturer receives the larger demand information from the retailer; information sharing leads to a profit increase to the manufacturer and a profit loss to the retailer, but can increase the profit of supply chain under a certain condition; information sharing reduces the expected consumer surplus. The TPC contract designed in this paper can not only motivate the retailer to share information but also increases the consumer surplus.

The study has been done in a monopoly environment where only a retailer can forecast demand information. It is an interesting direction of future research when considering there are more retailers who can forecast such information in a supply chain.

There exist two main aspects that are different from the existing literature. The stochastic demand function related to the retail price, the green degree and the promotional effort have never appeared in previous literature. This paper considers a green product supply chain with a manufacturer who produces green products and a retailer who has an information advantage because of her promotional effort; this paper investigates the impact of information sharing on the consumer surplus and designs a contract to coordinate the green supply chain.

This chapter analyzes which factors influence adolescent obesity by separating nutritional factors of the food consumed from socioeconomic and demographic variables.

A general linear equation is utilized to model the results empirically. A descriptive analysis is also utilized to determine which foods adolescents consume.

The empirical results found that food at home and food away from home and calories have a similar positive influence on obesity as measured by body mass index (BMI). The evidence shows that mothers have a greater influence on adolescents’ BMI than do fathers.

The results offer insight on what factors may be attributed to obesity in urban China.