THE TREND OF THE RETURNS TO EDUCATIONS IN URBAN CHINA DURING 1988 TO 2002

China underwent a significant social and economic transformation starting from the 1980s. The transition to market oriented economy brought change to the market of human capital. Using Mincer-type equation, we analyzed the returns to education in China using the data from the Chinese Household Income Project Survey conducted in the years 1988, 1995 and 2002, which covers the most interesting period. Although the returns to education were found generally lower than world average, a significant and steady increase in the returns was observed. Actually, the returns to each schooling year were more than doubled in the fourteen years. This increase was shown to be robust under different conditions, with job categories, geographical effects taken into account. This confirms that the increase is not due to structural changes among different sectors or locations. Structure changes of the returns to education in the sense of education levels were also observed, with higher education levels increasingly rewarded

The launch of integrative fixed video phone in Spain technology-market transfer plan

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and EconomicsThis Technology Market Transfer plan aims to launch the innovative technology of fixed video phones with specific applications in Spain. This technology offers an effective way for operators to gain competitive advantage over their competitors in this competitive industry. This technology has been created by Zonadvanced Company (Appendix 1- Company introduction), an innovative company offering technical communication solution. The technology is sophisticated software to be integrated into fixed phones with camera allowing users see each other without being together and also providing the access to many specific applications. It requires broadband access and a fixed phone with camera at home. This technology was finally designed for households’ use; however, it is operators that extend it. So different kinds of operators represent differently attractive targets for the company. This marketing plan envisions the launch of the technology in the market of Spain. This market has the advantage of high broadband penetration and fixed phone line penetration. Finally, a 31.5% household’s retention rate is expected to be achieved in 3 years, representing the profit of 37,202,431 euro

Enhanced Visible Light Photocatalytic Performance by Nanostructured Semiconductors with Glancing Angle Deposition Method

The glancing angle deposition (GLAD) method in physical vapor deposition is proved to be a versatile tool to fabricate nanostructured TiO2 as the photocatalyst on specific substrates to form self-standing structures, which are much easier to be recycled. And novel designs of doping, decorating photocatalytic active substance, are brought in to make TiO2 respond to visible light. In this chapter, we introduce our previous works such as TiO2 nanorods with CdS quantum dots, noble metallic nanoparticles, coating TiO2 via atomic layer deposition (ALD), and so on

Maximizing System Throughput Using Cooperative Sensing in Multi-Channel Cognitive Radio Networks

In Cognitive Radio Networks (CRNs), unlicensed users are allowed to access the licensed spectrum when it is not currently being used by primary users (PUs). In this paper, we study the throughput maximization problem for a multi-channel CRN where each SU can only sense a limited number of channels. We show that this problem is strongly NP-hard, and propose an approximation algorithm with a factor at least $1/2\mu$ where $\mu \in [1,2]$ is a system parameter reflecting the sensing capability of SUs across channels and their sensing budgets. This performance guarantee is achieved by exploiting a nice structural property of the objective function and constructing a particular matching. Our numerical results demonstrate the advantage of our algorithm compared with both a random and a greedy sensing assignment algorithm