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Search Results: 1 - 10 of 99651 matches for " Hui Liu "
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Delay and Its Time-Derivative Dependent Stable Criterion for Differential-Algebraic Systems  [PDF]
Hui Liu, Yucai Ding
Applied Mathematics (AM) , 2016, DOI: 10.4236/am.2016.710100
In this paper, the stable problem for differential-algebraic systems is investigated by a convex op-timization approach. Based on the Lyapunov functional method and the delay partitioning approach, some delay and its time-derivative dependent stable criteria are obtained and formulated in the form of simple linear matrix inequalities (LMIs). The obtained criteria are dependent on the sizes of delay and its time-derivative and are less conservative than those produced by previous approaches.
Two Level Principal-Agent Analysis in Farmland Transfer  [PDF]
Hui Shen, Yaxiang Liu
American Journal of Industrial and Business Management (AJIBM) , 2019, DOI: 10.4236/ajibm.2019.93028
With the acceleration of urbanization, a large number of rural labor forces have been transferred. As the basic means of production, land circulation is becoming more and more frequent. Scale management and land circulation have become the necessary trend of agricultural modernization. Based on the purpose of maximizing the interests of the participants and further optimizing the allocation efficiency of land resources in the process of land transfer, this paper constructs a dual principal-agent model of farmers and intermediary organizations, intermediary organizations and scale operators, which is multi-to-one and one-to-many principal-agent relationship respectively, and finds out the optimal level of effort. Finally, it analyses the influence of different factors on the interests, and puts forward some suggestions to the principal and agent based on the analysis results, in order to promote the further development of the land circulation market.
An Approach to Evaluating Enterprise Financial Performance Based on the Control Inheritance of Family Businesses with Intuitionistic Fuzzy Information
Hui Liu
Journal of Control Science and Engineering , 2014, DOI: 10.1155/2014/704687
Abstract: We investigate the multiple attribute decision making problems for evaluating the enterprise financial performance based on the control inheritance of family businesses with intuitionistic fuzzy information. We utilize the intuitionistic fuzzy Bonferroni mean (IFBM) operator to aggregate the intuitionistic fuzzy information corresponding to each alternative and get the overall value of enterprise financial performance and then rank the enterprises and select the most desirable one(s) by using the overall value of enterprise financial performance. Finally, an illustrative example for evaluating the enterprise financial performance based on the control inheritance of family businesses is given to verify the developed approach and to demonstrate its practicality and effectiveness. 1. Introduction After the reform and opening up for over 30 years, our country’s economic construction has made remarkable achievement, the comprehensive national strength and economic strength have increased apparently, all kinds of economic subjects have different degrees of development in China, and family enterprises as the economic organizations that started late also have undergone earth-shaking changes. The appearance of family enterprises can not only increase employment for our country, expand import and export, and push forward economic development but also they play an important role in academic economics, management theory in providing research object [1, 2]. Nowadays, China’s family enterprises have developed a lot; with the first generation becoming old, there is an emerging split in the succession of the right of control, some family enterprises are on the path towards socialization by introducing professional managers, and some ones with the psychology of “not letting the opportunities go outside Tian” pass the control power to their own family members. While most of the founders of the family enterprises want to pass the power to the next generation by nature, the biggest problems in the sustainable management of family enterprises are the inheritance crisis of enterprises’ control power [3–5]. Therefore, in the matter of choosing the professional managers or family heirs, many founders approach carefully [6]. In recent years, more attention is given to inheritance of the control power of China’s family business, but the number of specific theory researches is not so much. Although the related researches in foreign countries have longer time history and bigger quantity than those at home, but as our family businesses are very different from foreign ones in the
Research of the Suppliers’Risk Evaluation and Prevention Based on the Type a Cooperation Relationship
Yongsheng LIU,Hui LIU
International Business and Management , 2012, DOI: 10.3968/j.ibm.1923842820120501.z0404
Abstract: The current economic environment is full of competition and uncertainty, all kinds of uncertain factors contain risk in the integrated supply chain. As the upstream supply chain enterprises, suppliers are playing an important role. The suppliers’ risk is one of the main sources of the supply chain risk, so it becomes the important issue in the current economic environment. From the perspective of the cooperation relationships between enterprise and supplier, the risk evaluation indexes of type a cooperation are identified combined with the current market characteristics. The Fuzzy Model is used to have a comprehensive supplier risk assessment and the effective risk prevention measures are put forward based on the theory which aims to provide references for enterprises’risk evaluation and prevention. Key words: Supplier risk; Type a cooperation; Risk evaluation; Fuzzy model; Risk protection
A new approach for HIV-1 protease cleavage site prediction combined with feature selection  [PDF]
Yao Yuan, Hui Liu, Guangtao Qiu
Journal of Biomedical Science and Engineering (JBiSE) , 2013, DOI: 10.4236/jbise.2013.612144

Acquired immunodeficiency syndrome (AIDS) is a fatal disease which highly threatens the health of human being. Human immunodeficiency virus (HIV) is the pathogeny for this disease. Investigating HIV-1 protease cleavage sites can help researchers find or develop protease inhibitors which can restrain the replication of HIV-1, thus resisting AIDS. Feature selection is a new approach for solving the HIV-1 protease cleavage site prediction task and it’s a key point in our research. Comparing with the previous work, there are several advantages in our work. First, a filter method is used to eliminate the redundant features. Second, besides traditional orthogonal encoding (OE), two kinds of newly proposed features extracted by conducting principal component analysis (PCA) and non-linear Fisher transformation (NLF) on AAindex database are used. The two new features are proven to perform better than OE. Third, the data set used here is largely expanded to 1922 samples. Also to improve prediction performance, we conduct parameter optimization for SVM, thus the classifier can obtain better prediction capability. We also fuse the three kinds of features to make sure comprehensive feature representation and improve prediction performance. To effectively evaluate the prediction performance of our method, five parameters, which are much more than previous work, are used to conduct complete comparison. The experimental results of our method show that our method gain better performance than the state of art method. This means that the feature selection combined with feature fusion and classifier parameter optimization can effectively improve HIV-1 cleavage site prediction. Moreover, our work can provide useful help for HIV-1 protease inhibitor developing in the future.


Impacts of US Reindustrialization on Chinese Manufacturing  [PDF]
Wenbin Zhao, Haiyan Yan, Hui Liu
Open Journal of Social Sciences (JSS) , 2014, DOI: 10.4236/jss.2014.29024

The hollowing-out degree of American local manufacturing enterprises has reached a rather high level due to the long-term off-shoring of the industries to other developing countries. Some U.S. companies started to show intentions to move their manufacturing back home—a strategy known as “re-shoring” since 2010. The re-shoring behavior in U.S. manufacturing has triggered much concern about U.S. Manufacturing Rebuilding. This article analyzes the key factors that may influence U.S. companies’ re-shoring strategies. In the empirical part, regression formula is established to evaluate those potential influence factors and verify their significance.

Characterizing Subzero-Temperature Thermal Properties of Seasonally Frozen Soil in Alpine Forest in the Western Sichuan Province, China  [PDF]
Hui Sun, Shuai Liu, Jihong Qin
Journal of Water Resource and Protection (JWARP) , 2016, DOI: 10.4236/jwarp.2016.85048
Abstract: Seasonally frozen soil in alpine and subalpine zones in the mountains of Qinghai-Tibetan Plateau is particularly sensitive to global climate change. Therefore, a better understanding of the thermal properties of frozen soil is crucial for predicting the responses of frozen soils to soil warming. In this study, thermal properties of frozen soil with different moisture contents under subzero temperature (0°C - 20°C) in an alpine forest in western Sichuan were analyzed by KD2 Pro in its cooling and heating processes, respectively. Our results reveal that the soil apparent volumetric specific heat capacity (Cv) and apparent thermal conductivity (K) under the same water content show similar response patterns to changing temperature lower than -2°C in both heating and cooling processes. Moreover, ice content of frozen soils can be well predicted by Logistic model in cooling and heating processes. The Cv and K tend to increase along with increasing soil moisture contents. Remarkably, asymptotic characters of the value of Cv and K are at the vicinity of the initial temperature of phase transitions, indicating that both Cv and K are particularly sensitive to changing soil temperature at the range of -2
A Meta-Analysis of the Relationship between Customer Misbehavior and Emotional Labor  [PDF]
Hui Man, Feiyan Liu, Yutong Gao
Open Journal of Social Sciences (JSS) , 2017, DOI: 10.4236/jss.2017.56014
Abstract: A meta-analysis was used to aggregate results from studies examining the relationship between customer misbehavior and emotional labor. Analysis of 21 studies (N = 12,299) met the criteria for inclusion in the meta-analysis. The result of meta-analysis showed: customer misbehavior had significant effects on employee emotional labor. Specifically, customer misbehavior had a positive correlation to surface acting, and had a negative correlation to deep acting. Moderator analyses revealed that cultural difference has significant moderating effects on the relationship between customer misbehavior and emotional labor (including surface acting and deep acting). In addition, the correlation between customer misbehavior and surface acting in the context of China is less than it in the context of other countries.
Changes in Tropical Cyclone Number in the Western North Pacific in a Warming Environment as Implied by Classical Thermodynamics  [PDF]
Xiaogang Zhou, Chongjian Liu, Ying Liu, Hui Xu, Xiuming Wang
International Journal of Geosciences (IJG) , 2011, DOI: 10.4236/ijg.2011.21003
Abstract: Observational analyses show that the equatorial trough in the western North Pacific (WNP) is a well-known origin for tropical cyclones (TC) which have tended to weaken in intensity and decrease in number during the last several decades under global warming. A scientific problem then arises as to why higher sea surface temperatures (SSTs), one of the necessary conditions for typhoon genesis, can cause a weakened equatorial trough and a decreased TC number. In this paper, the WNP is taken as an example to illustrate a possible mechanism for the above-mentioned seemingly counterintuitive phenomena and explain the causality between the unusually heterogeneous pattern of SSTs in a warming environment and TC number in the WNP. This mechanism is based substantially on the second law of thermodynamics.
Biomarker Identification Using Text Mining
Hui Li,Chunmei Liu
Computational and Mathematical Methods in Medicine , 2012, DOI: 10.1155/2012/135780
Abstract: Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database. 1. Introduction Identifying molecular biomarkers has become an essential task for bioinformatics scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data [1]. The text mining technique has become a critical technique for designing future predictive and personalized medicine. At the same time, the PubMed database which comprises more than 21 million citations for biomedical literature offers an enriched source for us to explore the biomarkers across human disease and to mine the biomarkers related to diseases. Therefore, integrating automatic literature searches, and text mining is a fast emerging research area in epigenetics, DNA methylation, and more specifically biomarker discovery studies. For almost every cancer type, new publications that discover biomarker candidates are updated frequently, especially with advanced high-throughput methodologies. Efficient text mining tools and algorithm development are extremely needed. Many text mining technologies that are proposed by different groups, such as machine learning technologies including support vector machine [2], decision tree [3], Bayes classifier [4], and random forest [5], are used for text mining. Also the natural language processing technique is used to determine the structures and linguistic components of sentences and then parses the sentences in a bag of words, together with a statistic approach to get the matched results from the text databases. OMIM database [6] is one of the important databases for biomarker-related disease research. The MeSH Browser [7] is used to map disease associations to MeSH IDs. In this paper, we use a state machine to simulate the transforms of the biomarkers from individual entities to associated diseases and pathways as well as networks. Several abstracted templates are summarized from known expert experience and knowledge. The biomarkers are ranked based on the importance to the diseases and the citations of the literature from
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