Entrepreneurial Experience and Science Parks and Business Performance in Beijing, China

China is the second largest economic entity in the world. It is well acknowledged that small businesses have made significant contributions to Chinese economic development in terms of employment generation, income generation and poverty reduction. Entrepreneurs are the key people who are driving small businesses forward, and the Chinese Government has invested substantially in science parks. However, our understanding of entrepreneurship activities, science parks and especially prior business experience and business performance in China remains under researched. Therefore, to fill this gap, this research explores entrepreneurs’ business performance of those who were on science parks against those whose businesses were off-park in Beijing China. Human capital theory experience and the RBV provide the theoretical framework which were used to test the entrepreneur’s prior business ownership experience against the performance of the businesses in terms of innovation, exporting activity, employment growth, profitability and the usage of e-commerce. This research adopted a quantitative methodology to analyse a new data set gathered by the researcher. In the year of 2009, 462 valid questionnaires were received from the firms located on and off ZhongGuanCun Science Park (ZSP), and that represented a 12% response rate. The results show that prior business ownership experiences and science park location have strong associations with business performances. In particular, firstly habitual entrepreneurs are more likely than novice entrepreneurs to be innovators, and in general to have a better business performance; secondly, business located on science parks generally performed better than off-park businesses and lastly, interestingly, there is no clear evidence showing that habitual entrepreneurs have better usage of e-commerce than novice entrepreneurs. According to these key research findings, implications are elucidated for Chinese practitioners and policy makers

Experimental Requirements to Determine the Neutrino Mass Hierarchy Using Reactor Neutrinos

This paper presents experimental requirements to determine the neutrino mass hierarchy using reactor neutrinos. The detector shall be located at a baseline around 58 km from the reactor(s) to measure the energy spectrum of electron antineutrinos ($\bar{\nu}_e$) precisely. By applying Fourier cosine and sine transform to the L/E spectrum, features of the neutrino mass hierarchy can be extracted from the $|\Delta{m}^2_{31}|$ and $|\Delta{m}^2_{32}|$ oscillations. To determine the neutrino mass hierarchy above 90% probability, requirements to the baseline, the energy resolution, the energy scale uncertainty, the detector mass and the event statistics are studied at different values of $\sin^2(2\theta_{13})$Comment: Update Fig.

Abstraction of Elementary Hybrid Systems by Variable Transformation

Elementary hybrid systems (EHSs) are those hybrid systems (HSs) containing elementary functions such as exp, ln, sin, cos, etc. EHSs are very common in practice, especially in safety-critical domains. Due to the non-polynomial expressions which lead to undecidable arithmetic, verification of EHSs is very hard. Existing approaches based on partition of state space or over-approximation of reachable sets suffer from state explosion or inflation of numerical errors. In this paper, we propose a symbolic abstraction approach that reduces EHSs to polynomial hybrid systems (PHSs), by replacing all non-polynomial terms with newly introduced variables. Thus the verification of EHSs is reduced to the one of PHSs, enabling us to apply all the well-established verification techniques and tools for PHSs to EHSs. In this way, it is possible to avoid the limitations of many existing methods. We illustrate the abstraction approach and its application in safety verification of EHSs by several real world examples

Mass hierarchy sensitivity of medium baseline reactor neutrino experiments with multiple detectors

We report the neutrino mass hierarchy (MH) sensitivity of medium baseline reactor neutrino experiments with multiple detectors. Sensitivity of determining the MH can be significantly improved by adding a near detector and combining both the near and far detectors. The size of the sensitivity improvement is related to accuracy of the individual mass-splitting measurements and requires strict control on the relative energy scale uncertainty of the near and far detectors. We study the impact of both baseline and target mass of the near detector on the combined sensitivity. A figure-of-merit is defined to optimize the baseline and target mass of the near detector and the optimal selections are $\sim$13~km and $\sim$4~kton respectively for a far detector with the 20~kton target mass and 52.5~km baseline. As typical examples of future medium baseline reactor neutrino experiments, the optimal location and target mass of the near detector are selected for JUNO and RENO-50. Finally, we discuss distinct effects of the neutrino spectrum uncertainty for setups of a single detector and double detectors, which indicate that the spectrum uncertainty can be well constrained in the presence of the near detector.Comment: 7 pages, 9 figure