Shanghai, China

Shanghai Business School
Shanghai, China

Shanghai Business School is a business school in Shanghai, China. It was formerly the East China Branch of the Tax Administration School of the Central Government of China. Wikipedia.

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Ge R.,Shanghai Business School | Feng J.,City University of Hong Kong | Gu B.,Arizona State University | Zhang P.,Shanghai JiaoTong University
Journal of Management Information Systems | Year: 2017

This study examines the predictive power of self-disclosed social media information on borrowers’ default in peer-to-peer (P2P) lending and identifies social deterrence as a new underlying mechanism that explains the predictive power. Using a unique data set that combines loan data from a large P2P lending platform with social media presence data from a popular social media site, borrowers’ self-disclosure of their social media account and their social media activities are shown to predict borrowers’ default probability. Leveraging a social media marketing campaign that increases the credibility of the P2P platform and lenders disclosing loan default information on borrowers’ social media accounts as a natural experiment, a difference-in-differences analysis finds a significant decrease in loan default rate and increase in default repayment probability after the event, indicating that borrowers are deterred by potential social stigma. The results suggest that borrowers’ social information can be used not only for credit screening but also for default reduction and debt collection. Copyright © Taylor & Francis Group, LLC.

Bing L.,Shanghai Business School | Wang W.,Shanghai Municipal Public Security Bureau
Computational and Mathematical Methods in Medicine | Year: 2017

We propose a novel method based on sparse representation for breast ultrasound image classification under the framework of multi-instance learning (MIL). After image enhancement and segmentation, concentric circle is used to extract the global and local features for improving the accuracy in diagnosis and prediction. The classification problem of ultrasound image is converted to sparse representation based MIL problem. Each instance of a bag is represented as a sparse linear combination of all basis vectors in the dictionary, and then the bag is represented by one feature vector which is obtained via sparse representations of all instances within the bag. The sparse and MIL problem is further converted to a conventional learning problem that is solved by relevance vector machine (RVM). Results of single classifiers are combined to be used for classification. Experimental results on the breast cancer datasets demonstrate the superiority of the proposed method in terms of classification accuracy as compared with state-of-the-art MIL methods. © 2017 Lu Bing and Wei Wang.

Guan Q.,University of Maryland University College | Wu J.,University of Maryland University College | Wu J.,Wenzhou Medical College | Zhang Y.,University of Maryland University College | And 5 more authors.
Plant Cell | Year: 2013

Cold stress resulting from chilling and freezing temperatures substantially reduces crop production worldwide. To identify genes critical for cold tolerance in plants, we screened Arabidopsis thaliana mutants for deregulated expression of a firefly luciferase reporter gene under the control of the C-REPEAT BINDING FACTOR2 (CBF2) promoter (CBF2:LUC). A regulator of CBF gene expression1 (rcf1-1) mutant that is hypersensitive to cold stress was chosen for in-depth characterization. RCF1 encodes a cold-inducible DEAD (Asp-Glu-Ala-Asp) box RNA helicase. Unlike a previously reported DEAD box RNA helicase (LOW EXPRESSION OF OSMOTICALLY RESPONSIVE GENES4 [LOS4]) that regulates mRNA export, RCF1 does not play a role in mRNA export. Instead, RCF1 functions to maintain proper splicing of pre-mRNAs; many cold-responsive genes are misspliced in rcf1-1 mutant plants under cold stress. Functional characterization of four genes (PSEUDO-RESPONSE REGULATOR5 [PRR5], SHAGGY-LIKE SERINE/THREONINE KINASE12 [SK12], MYB FAMILY TRANSCRIPTION FACTOR CIRCADIAN1 [CIR1], and SPFH/PHB DOMAIN-CONTAINING MEMBRANE-ASSOCIATED PROTEIN [SPFH]) that are misspliced in rcf1-1 revealed that these genes are cold-inducible positive (CIR1 and SPFH) and negative (PRR5 and SK12) regulators of cold-responsive genes and cold tolerance. Together, our results suggest that the cold-inducible RNA helicase RCF1 is essential for pre-mRNA splicing and is important for cold-responsive gene regulation and cold tolerance in plants. © 2013 American Society of Plant Biologists. All rights reserved.

Guan Q.,University of Maryland University College | Wu J.,University of Maryland University College | Wu J.,Wenzhou Medical College | Yue X.,University of Maryland University College | And 4 more authors.
PLoS Genetics | Year: 2013

Salt stress is an important environmental factor that significantly limits crop productivity worldwide. Studies on responses of plants to salt stress in recent years have identified novel signaling pathways and have been at the forefront of plant stress biology and plant biology in general. Thus far, research on salt stress in plants has been focused on cytoplasmic signaling pathways. In this study, we discovered a nuclear calcium-sensing and signaling pathway that is critical for salt stress tolerance in the reference plant Arabidopsis. Through a forward genetic screen, we found a nuclear-localized calcium-binding protein, RSA1 (SHORT ROOT IN SALT MEDIUM 1), which is required for salt tolerance, and identified its interacting partner, RITF1, a bHLH transcription factor. We show that RSA1 and RITF1 regulate the transcription of several genes involved in the detoxification of reactive oxygen species generated by salt stress and that they also regulate the SOS1 gene that encodes a plasma membrane Na+/H+ antiporter essential for salt tolerance. Together, our results suggest the existence of a novel nuclear calcium-sensing and -signaling pathway that is important for gene regulation and salt stress tolerance. © 2013 Guan et al.

Jiang C.,Shanghai Business School | Song F.,Donghua University
Proceedings - 2nd IEEE International Conference on Advanced Computer Control, ICACC 2010 | Year: 2010

Exchange rate time series is often characterized as chaotic in nature. The prediction using conventional statistical techniques and neural network with back propagation algorithm, which is most widely applied, do not give reliable prediction results. Exchange-rate time series is also a dynamic non-linear system, whose characteristics cannot be reflected by the static neutral network. The Nonlinear Autoregressive with eXogenous input (NARX) includes the feedback of the network output, therefore can reflect the dynamic property of the system. This paper proved the chaotic property of the exchange-rate time series, calculated the embedding dimension and time delay of the series, and established the exchange-rate forecast model using the NARX network. The result shows that the NARX network has better short-term forecast effect, comparing to the BP network and the SVM model. © 2010 IEEE.

Ji L.-Q.,Shanghai Business School
Energy Sources, Part B: Economics, Planning and Policy | Year: 2015

Some sigmoidal growth models have been commonly used for forecasting energy consumption. In this article, a new sigmoidal growth model, which is an extended form of the Boltzmann 4-parameter function, has been developed for describing the evolution of biogas consumption in rural China. Additionally, the other three sigmoidal growth models (the general form of the logistic model, the Boltzmann 4-parameter function, and the Gompertz-Laird model) have also been applied to the same historical data on biogas consumption in rural China. These models have been compared using their goodness of fit to the historical data and the available national forecasts. The results revealed that the model newly-proposed in this paper is a very suitable candidate for forecasting biogas consumption in rural China. Copyright © Taylor and Francis Group, LLC.

Ren Z.,Shanghai Business School
CICC-ITOE 2010 - 2010 International Conference on Innovative Computing and Communication, 2010 Asia-Pacific Conference on Information Technology and Ocean Engineering | Year: 2010

This paper examines a number of common business problems and shows how SQL Server 2005 Analysis Services solves these problems in a simple and cost-effective manner. Types of business problems covered are providing a simple, integrated view of data, data mart and niche application consolidation, intelligent views of data, localization challenges, and real-time business intelligence data. These business problems typically have been challenging or impossible with other data warehousing products. Microsoft brings these new capabilities to the enterprise in a simple yet powerful package. © 2010 IEEE.

Jiang C.,Shanghai Business School | Song F.,Donghua University
Journal of Computers | Year: 2011

Chaotic time-series is a dynamic nonlinear system whose features can not be fully reflected by Linear Regression Model or Static Neural Network. While Nonlinear Autoregressive with eXogenous input includes feedback of network output, therefore, it can better reflect the system's dynamic feature. Take annual active times of sunspot as an example, after verifying the chaos of sunspot time-series and calculating the series' embedding dimension and delay, we establish sunspot prediction model with NARX network. The result shows that compared with BP Network and ARIMA Model, NARX network can better predict the chaos. © 2011 ACADEMY PUBLISHER.

Huang F.,Shanghai Business School
Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014 | Year: 2015

In people’s life and communication, emotional communication is omnipresent, a complex psychological changing process of human communication in language. It is people’s unique personality characteristics that make emotional communication become one of the important factors in foreign language communication an obstacle. In addition to language, the most important in foreign language exchange is emotional communication. Only language full of emotion can make people understand each other’s true feelings, likes and dislikes, personality characteristics, promoting the further development of people’s relationship, and making society more harmonious. However, it’s not simple to implement emotional communication in foreign exchange, which is closely related to personality characteristics, education and life background of both sides. This work briefly analyzes the implementation of emotional communication. © 2015 Taylor & Francis Group, London.

Bian Y.,Shanghai Business School | Hu M.,Shanghai Business School | Wang Y.,Shanghai Business School | Xu H.,Anhui University
Renewable and Sustainable Energy Reviews | Year: 2016

The economic system in China is composed of three internal parallel industries: primary, secondary and tertiary industries. To examine energy efficiency of the economic system, this paper proposes a parallel slacks-based measure approach. In the described approach, the measures of energy efficiencies and energy saving potentials for the whole system and its three industries are defined. Application of the proposed approach to the economic system in China during 1986-2012 shows that it can be effectively used to measure energy efficiency of the evaluated system with several parallel sub-systems. The institutional influential factors of energy efficiency in China are also examined. The following findings can be achieved based on the application results: (1) the inefficiency of the economic system in China is mainly sourced from the lower energy performance of the secondary industry; (2) energy efficiency of the economic system increases during the study time period with an exception during 2001-2005; (3) it is better for the whole economic system to improve energy efficiency, which can help to save much more energy consumption in production in China; and (4) economic development is estimated to have positive impacts on national energy efficiency, while energy structure adjustment and industrial structure optimization have negative effects on national energy efficiency. © 2015 Elsevier Ltd.

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