R&D professionals are the impetus behind technological innovation, and their competitiveness and capability drive the growth of a company. However, high-tech industries have a chronic shortage of such indispensable professionals. Accordingly, reducing R&D personnel turnover has become a major human resource management challenge facing innovative companies. This study combined importance–performance analysis (IPA) with the decision-making trial and evaluation laboratory (DEMATEL) method to propose an IPA–DEMATEL model. Establishing this model involved three steps. First, an IPA was conducted to measure the importance of and satisfaction gained from job satisfaction criteria. Second, the DEMATEL method was used to determine the causal relationships of and interactive influence among the criteria. Third, a criteria model was constructed to evaluate job satisfaction of high-tech R&D personnel. On the basis of the findings, managerial suggestions are proposed.

Resource-based cities are those where resource-based industries comprise a large proportion of all industries. Sustainable development implies that cities make full use of their own resources to support current development initiatives and take sustainability into account both during and after resource consumption. To promote investment in the sustainable development of resource-based cities and to a provide a decision system for these cities, this paper uses an ecological footprint model to evaluate and analyze the per capita ecological footprint, per capita ecological carrying capacity and per capita ecological deficit of a representative resource-based city, Yulin. The data are collected from 2001 to 2015. In addition, due to the complexity of the influencing factors for ecological carrying capacity and the variety of situations that are difficult to accurately predict, this paper proposes a new urban ecological carrying capacity prediction model, which consists of a radial basis function (RBF) neural network that is optimized by an improved artificial bee colony algorithm. The prediction results show that energy consumption is the major factor affecting the urban ecosystem; moreover, the model precision of the training results and the simulation accuracy of the test results achieved by the RBF neural network model are 97.91% and 94.16%, respectively, and in 2020, the per capita ecological footprint, biocapacity, and ecological deficit of Yulin are predicted to reach 4.892 hm 2 , 3.317 hm 2 , and 1.575 hm 2 , respectively. Accordingly, effective proactive measures should be taken in advance to maintain or reduce the ecological pressure on this resource-dependent city. This paper strives to provide a scientific basis for local government decision-making to realize the healthy, stable, and rapid sustainable development of resource-based cities. INDEX TERMS Resource-based city, ecological pressure prediction, RBF neural network, ABC algorithm, ecological footprint theory. I. INTRODUCTION As an integration of the topography, landform, soil, climate, hydrology, flora and fauna as well as the human activities The associate editor coordinating the review of this manuscript and approving it for publication was Yanzheng Zhu. in a certain region, the urban ecological environment is not only affected by human activities but also serves as the basis for human survival. Regarding resource-dependent cities, the ecological environment plays a vital role in such a special urban structure. A resource-based city is defined as a city in which the leading industries depend on the exploitation

The implementation of China’s Belt and Road Initiative macro strategy has promoted exchanges and cooperation between China and Europe and countries along the route. The operation of the China Railway Express provides a new transportation platform for China–Europe trade. The sustainable development of the China Railway Express has a great significance in terms of promoting the growth of China–Europe trade and meeting the demand for freight in Asia and Europe. Its time-saving advantage over shipping and its economic advantage over air transport cannot be ignored. This paper is based on the discrete selection model of stochastic utility theory. The paper constructs a multi-logit model based on generalized cost functions, including economics, timeliness, reliability, convenience, safety, and environmental protection. To calculate the market share of the China Railway Express and China–Europe Shipping, the paper conducts a quantitative analysis of the market competitiveness of the China Railway Express. Then, the sensitivity analysis and elastic analysis are carried out on the China Railway Express freight rate, the Chinese road freight rate, the China Railway Express service fee, the China Railway Express travelling speed, the China Railway Express sending operation time at the departure station, the China Railway Express transportation time error, the China Railway Express transportation frequency, and the China Railway Express carbon emissions per unit. Finally, based on the analysis results, suggestions for promoting the sustainable development of the China Railway Express are given.

The gate driver circuit is successfully embedded in the active area of TFT-LCD by novel pixel architecture. Circuit in the active area technology is suitable for freeform design or through-hole LCD. Mechanical knob can be easily installed for intuitive operation and safe consideration in car display.