Shanxi University of Finance and Economics simplified Chinese: 山西财经大学; traditional Chinese: 山西財經大學; pinyin: shanxi cáijīng dàxué), founded in 1951, is one of the earliest financial universities in China. The university sticks to highlighting the academic characteristics and advantages of Economics and Management, focusing on Economics, Management and Laws as the mainstay subjects and developing interdependently Economics, Management, Laws, Literal Arts, Science, Engineering and Teaching. Wikipedia.
Li J.,Shanxi University of Finance and Economics |
Li J.,Shanxi University |
Li R.,Shanxi University |
Meng Z.,Shanxi University
European Journal of Pharmacology | Year: 2010
Sulfur dioxide (SO2) is a common gaseous pollutant. It is also, however, endogenously generated from sulfur-containing amino acids. Recent studies have demonstrated that rat blood pressure can be lowered by SO2-exposure in vivo and that vasodilation caused by SO2 at low concentrations (<450μM) is endothelium-dependent in rat aorta. However, effects of SO2 on nitric oxide synthase (NOS) and nitric oxide (NO) production have not been previously studied in rat aorta. The objective of the present study is to assess the effects of acute (10min) and prolonged (2h) stimulation with different concentrations of SO2 on NO/cGMP pathway in isolated rat aorta. The results show that: (1) the acute and prolonged pretreatments with SO2 produced an inhibition of vasoconstrictions induced by norepinephrine. (2) SO2 potentiated activity of endothelial nitric oxide synthase (eNOS), but not of induced NOS (iNOS). (3) SO2 could increase expression of eNOS gene on the transcription and translation levels in rat aorta. (4) SO2 enhanced NO formation in aortic tissue. (5) The level of cGMP in rat aorta was increased by SO2 and no change of cAMP. These findings led to the conclusion: there were acute and prolonged effects of SO2 on the NO/cGMP signalling pathway; and SO2 could upregulate the eNOS-NO-cGMP pathway and at least partly by which the SO2 might cause vasodilation and inhibition to vasoconstriction. © 2010 Elsevier B.V.
Ren L.,Shanxi University of Finance and Economics |
Wang W.,Shanxi University
Future Generation Computer Systems | Year: 2017
With the development of service-oriented computing (SOC) and cloud computing, Web service has become an important carrier for IT resources delivery. Nowadays, the same function can be provided by numerous services, it becomes difficult for users to find their desired services. So it is necessary to design feasible recommendation strategies to provide users with their expected services. Most existing methods attempt to recommend services according to accurate predictions for the rating or the quality of service (QoS) values. However, because the Internet is dynamic and user ratings are generally subjective, it is almost impossible to accurately predict the QoS or rating. Furthermore, accurate prediction is generally time-consuming. This paper proposes a support vector machine (SVM) based collaborative filtering (CF) service recommendation approach, namely SVMCF4SR. For a user, SVM can acquire a separating hyperplane from the historical rating data, which can filter out the services that may not be preferred by the user. Moreover, the preference degree of a user can be measured directly with the distance between the point representing the service and the separating hyperplane. Thus, according to the preference degree, top-N services can be recommended without the need of prediction for rating or QoS. Both the theory and the experiments show that SVMCF4SR has comparatively higher recommendation efficiency and quality. © 2017 Elsevier B.V.
Zhang R.,Shanxi University of Finance and Economics
Journal of Chemical and Pharmaceutical Research | Year: 2014
With computer technology and three-dimensional imaging software and hardware technology rapidly development, three-dimensional digital technology is more and more concerned and applied by people. But limit graphics card handling ability and network bandwidth seriously affect such media transmission, simply rely on increasing hardware equipment input is not enough to solve problems, it should adopt corresponding algorithms to compress three-dimensional surface model data so that can fundamentally solve the drawback. Though some common used compression algorithms and tools can be used to reduce three-dimensional geometric data sizes, efficiency is not ideal or it is improper for some specific applications, three-dimensional model and previous voice frequency(one-dimensional), image(two-dimensional), video(two-dimensional+time) the three kinds of medias types are different, three-dimensional network model also reflects as random crook, complex and lacking of continuous natural parameterization features, and each kind of attributes that are defined in model surface is non-regular sampled, which let classic orthogonal analysis tools cannot be directly used to handle 3D geometric signal. Therefore, look for new algorithms to effective express three-dimensional model is imperative. The paper based on Garland proposed surface model compression algorithm, it puts forward a kind of edge collapse-based surface data compression algorithm, the algorithm calculates edge collapse cost and defines each edge collapse order according to quadric error measure criterion, judges shrinkage legality according to half-space test method, by the algorithm, it implements surface model boundary zone and interior zone synchronization compression, it not only can ensure original model geometric features on the condition of high compression ratio, but also can effective ensure compression model quality. © 2014, Journal of Chemical and Pharmaceutical Research. All rights reserved.
Cao X.,Shanxi University of Finance and Economics
Journal of Cleaner Production | Year: 2017
The late 1990s and early 2010s witnessed China's efforts to reform its coal industry towards sustainability. A series of rigorous initiatives were launched to consolidate its coal resources and upgrade its mining sector. The “mine closure and production reduction campaign” (MCPRC) and “coal resources consolidation campaign” (CRCC) were among the notable. This paper conducts a general review of the policies and regulations relating to these initiatives with Shanxi, one of the key coal-producing provinces and one of the pilot areas for reform, as a case study. The paper argues that the “one-size-fits-all” approach may have brought short-lived political and economic benefits. However, in the long run, a rationally-designed, stable, socio-economically and environmentally co-ordinated regulatory framework for both large and small coal mines is needed for the sustainable development of China's coal sector. This finding would be helpful for the potential similar reform initiatives for the coal sector and for the wider energy sector across the country. © 2017 Elsevier Ltd
Shi Z.,Shanxi University of Finance and Economics
Agro Food Industry Hi-Tech | Year: 2017
Small and micro enterprises in China have made great contributions to the development of the national economy, but the financing problems of small and micro enterprises have been a social problem. In the context of the rapid development of Internet finance, the financing channels of small and micro enterprises is further broadened with new ideas and ways to solve. By analyzing the current situation of China's small and micro enterprise survival and financing as well as the development of Internet finance and comparing domestic and international Internet financial models, this paper proposes advice conducive to financing of small and micro businesses in the context of Internet finance in order to establish four modes for small and micro businesses' financing according to China's national situation: P2P mode, the crowd funding model, e-commerce model and Internet direct banking model.
Xiao N.,Shanxi University of Finance and Economics |
Li A.,Shanxi University of Finance and Economics
Journal of Applied Optics | Year: 2017
In order to realize selective encryption of infrared images, an infrared image selection algorithm based on multi-feature difference detection and joint control mapping is proposed. Initial infrared image is enhanced by introducing segmented Sine transform to highlight true infrared target. Then target decision factor is designed by considering gray difference between target and background, and infrared background suppression mechanism is constructed by segmenting structure elements of Top-Hat transform to filter clutter and noise. Multi-feature difference detection model is established by using gray level, contrast and similarity degree to extract region of interest of real target and suspicious object. Joint control chaotic mapping is designed by Logistic map, Tent map and chebysbev map to permutation region of interest. Finally, gravity model is introduced to spread pixels in region of interest for complete infrared target selection encryption. Experimental results show that compared with existing local encryption mechanism, entropy of cipher text information is 7.982 6, which can be used for local selective encryption of infrared images. © 2017, Editorial Board, Journal of Applied Optics. All right reserved.
He Y.,Shanxi University of Finance and Economics |
Lin B.,Xiamen University
Energy Policy | Year: 2017
This paper depicts the natural gas price control behavior of the Chinese government in an imperfect competition market structure using a static CGE model. It simulates the effect of changes in natural gas price control policy on carbon emission, and the economic effects in view of demand side and supply side. Based on the above, we also analyze the carbon emission mechanism from economic and energy structure perspective. The results show that: an increase in natural gas price can reduce carbon emission, or tends to cause a long-term decline in the surplus profit rate of the natural gas industry. Moreover, the increase in natural gas price may raise the CPI, and reduce actual GDP and residents’ welfare. On the contrary, a decrease in natural gas price may reduce CPI and enhance resident welfare. However, the long-term actual GDP will not increase, but carbon emission will increase and the surplus profit rate of the natural gas industry may reduce in the short term and increase in the long term. On the other hand, Both increase and decrease in natural gas prices may result in a decrease of the actual GDP level in the long term. The elimination of price control in natural gas supply may increase actual GDP and residents’ welfare and reduce CPI. Meanwhile, it may increase carbon emissions and improve the profitability of the natural gas industry. © 2017 Elsevier Ltd
Zhang G.,Harbin Institute of Technology |
Zhao Q.,Harbin Institute of Technology |
Jiao Y.,Shanxi University of Finance and Economics |
Wang K.,Harbin Institute of Technology |
And 3 more authors.
Water Research | Year: 2012
Microbial fuel cells (MFCs) with abiotic cathodes require expensive catalyst (such as Pt) or catholyte (such as hexacynoferrate) to facilitate oxidation reactions. This study incorporated biocathodes into a three-chamber MFC to yield electricity from sewage sludge at maximum power output of 13.2±1.7W/m 3 during polarization, much higher than those previously reported. After 15d operation, the total chemical oxygen demand (TCOD) removal and coulombic efficiency (CE) of cell reached 40.8±9.0% and 19.4±4.3%, respectively. The anolyte comprised principally acetate and propionate (minor) as metabolites. The use of biocathodes produced an internal resistance of 36-46Ω, lower than those reported in literature works, hence yielding higher maximum power density from MFC. The massively parallel sequencing technology, 454 pyrosequencing technique, was adopted to probe microbial community on anode biofilm, with dominant phyla belonging to Proteobacteria (45% of total bacteria), Bacteroidetes (19%), Uncultured bacteria (9%), Actinobacteria (7%), Firmicutes (7%), Chloroflex (7%). At genera level, Rhodoferax, Ferruginibacter, Propionibacterium, Rhodopseudomonas, Ferribacterium, Clostridium, Chlorobaculum, Rhodobacter, Bradyrhizobium were the abundant taxa (relative abundances>2.0%). © 2011 Elsevier Ltd.
Shi Y.,Shanxi University of Finance and Economics |
Handfield R.,North Carolina State University
International Journal of Logistics Research and Applications | Year: 2012
With the rapid business expansion in China, multinational logistics companies are desperately in need of local management personnel to staff new offices and routes. This has been a major challenge for multinational logistics enterprises, as finding qualified candidates, recruiting them, and retaining them in China have proven to be harder than expected. Based on a set of interviews with executives in global logistics companies as well as interviews with Chinese supply chain candidates, we explore a set of root causes that underlie the challenges that human resource (HR) managers in multinational logistics companies face when recruiting and retaining Chinese employees. These underlying causes are manifold in nature. First, there is a shortage of qualified graduates from universities for open roles in logistics enterprises partly due to the nascent logistics higher education in China. Second, multinational logistics enterprise roles are often less appealing to talented Chinese job candidates who have multiple options for logistics career opportunities. Third, there is a gap between the expectations of Chinese employees and the perceived reality of foreign managers relative to what constitutes competitive salary, benefits, and job satisfaction conditions. To address the logistics labour challenges, it is imperative that Western logistics enterprises operating in China align their HR strategies and tactics with the hard realities of the Chinese labour pool and the conditions that exist in the market today as well as the near future. We identify several approaches to close the gap that exists today, including (a) creating training opportunities for HR managers on Chinese culture and social contexts, (b) establishing fair incentives internally, and (c) seeking deeper and broader relationships with Chinese universities to attract talent. © 2012 Copyright Taylor and Francis Group, LLC.
Miao J.-Y.,Shanxi University of Finance and Economics
Information Systems Development: Asian Experiences | Year: 2011
We discuss an application of conjoint analysis in technology forecasting, summarize basic operation steps of conjoint analysis, and give a stimulant example of technology forecasting. In this example, we consider five factors that will affect the emergence of a new technology. These factors have investing demand in a new technology, potential market value of a new technology, realizable difficulty of a new technology, supporting degree of relative technology to a new technology, and the competitive power of a new technology with original technology. Technology development has a discontinuity. With discontinuity, we cannot forecast the future of technology development, based on the current trend of technology development. As using quantitative methods to make forecasting, we assumed that current trends of technology development hold a fixed law, so those quantitative methods cannot forecast the discontinuity of technology development. Some subjective forecasting methods have huge improvement in technological discontinuity forecasting. The improvement is that forecaster's subjective judgments and capability are embodied in forecasting. But this method has two inherent defects: one is the lack of design ability, which makes this method susceptible to the influence of organizer and forecasting, and the other is that while facing numerous forecasters, the forecasting data are often difficult to explain and analyze; we also have difficultly in making a synthesized judgment. A subjective and synthesized judgment of technology development is similar to economical utility, thus we could apply the measure of colony's utility to improve the appropriateness and reliability of subjective forecasting method. Using conjoint analysis, we can judge the colony's utility accurately, because the datum that we use in analysis comes from the subjective judgments of forecasters to various fields of technical development, but the influence of the random error can be dispelled by using some theory model about data processing. Therefore, conjoint analysis method is one useful tool for technology forecasting. The effectiveness of this method has been testified by simulation experiment. © Springer Science+Business Media, LLC 2011.