We search for invisible decays of the Υ (1S) meson using a sample of 91.4 × 10 6 Υ (3S) mesons collected at the BABAR/PEP-II B Factory. We select events containing the decay Υ (3S) → π + π − Υ (1S) and search for evidence of an undetectable Υ (1S) decay recoiling against the dipion system. We set an upper limit on the branching fraction B(Υ (1S) → invisible) < 3.0 × 10 −4 at the 90% confidence level.

No abstract

It is absolutely not an accidental phenomenon that the development of Internet overlaps with boom of business model research. The emergence of the Internet has greatly promoted the development and study of business models. This paper focuses on exploration of O2O business model innovation by analyzing the main types, evolution and driving factors of Chinese Internet business model, taking Ctrip as the example. From the social prospective, O2O business model improves value and feeling of the customer experience as well as the operational efficiency of the enterprise value chain and utilization efficiency of social resources. This paper has also put forward what Ctrip can enlighten the development of tourism enterprises.

Nowadays, manufacturing enterprises face the challenge of just-in-time (JIT) production and energy saving. Therefore, study of JIT production and energy consumption is necessary and important in manufacturing sectors. Moreover, energy saving can be attained by the operational method and turn off/on idle machine method, which also increases the complexity of problem solving. Thus, most researchers still focus on small scale problems with one objective: a single machine environment. However, the scheduling problem is a multi-objective optimization problem in real applications. In this paper, a single machine scheduling model with controllable processing and sequence dependence setup times is developed for minimizing the total earliness/tardiness (E/T), cost, and energy consumption simultaneously. An effective multi-objective evolutionary algorithm called local multi-objective evolutionary algorithm (LMOEA) is presented to tackle this multi-objective scheduling problem. To accommodate the characteristic of the problem, a new solution representation is proposed, which can convert discrete combinational problems into continuous problems. Additionally, a multiple local search strategy with self-adaptive mechanism is introduced into the proposed algorithm to enhance the exploitation ability. The performance of the proposed algorithm is evaluated by instances with comparison to other multi-objective meta-heuristics such as Nondominated Sorting Genetic Algorithm II (NSGA-II), Strength Pareto Evolutionary Algorithm 2 (SPEA2), Multiobjective Particle Swarm Optimization (OMOPSO), and Multiobjective Evolutionary Algorithm Based on Decomposition (MOEA/D). Experimental results demonstrate that the proposed LMOEA algorithm outperforms its counterparts for this kind of scheduling problems.

This article selects the listed companies in China’s A-share heavy pollution industry from 2014 to 2018 as samples, uses a random effect model to empirically test the relationship between media attention and corporate environmental performance and examines the impacts of local government environmental protection and property nature on that relationship. Results are as follow: (1) Media attention can significantly affect a company’s environmental performance. The higher the media attention, the greater the company’s supervision and the better its environmental performance. (2) In areas where the government pays less attention to environmental protection, the impact of media on corporate environmental performance is more obvious, but in other areas, the impact of media on environmental performance cannot be reflected; (3) The media attention is very significant for the environmental performance improvement of state-owned enterprises, and it is not obvious in non-state-owned enterprises. (4) A further breakdown of the study found that the role of media attention in corporate environmental performance is only significant in the sample of local governments that have low environmental protection and are state-owned enterprises. This research incorporates the local government’s emphasis on environmental protection into the research field of vision, expands the research scope of media and corporate environmental performance, and also provides new clues and evidence for promoting the active fulfillment of environmental protection responsibilities by companies and local governments.

No abstract

No abstract

The converging performance of culture industry and financial industry in Beijing is an essential method to transform the way of Beijing economic development and promote culture industry into an economic pillar industry of Beijing. Based on this, this paper starts from the convergence status quo of culture industry and finance industry in Beijing, adopts Herfindahl-Hirschman Index (HHI) and input-output analysis to respectively study the converging degree between them. The results are that the converging degree of them is not high, the financial contribution to the industry convergence is not enough and the converging performance is far from expectations for government. In conclusion, this paper puts forward some policy suggestions to improve the convergence of culture industry and finance industry in Beijing.