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Search Results: 1 - 10 of 100931 matches for " Jin Chen "
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The Industrial Relations of Logistics Industry—Based on China’s 2010 Input-Output Table  [PDF]
Jin Zhang, Lizhen Chen
Modern Economy (ME) , 2014, DOI: 10.4236/me.2014.512099
Abstract:

The paper explores the intrinsic link between logistics industry, national economy and three industries by using Chinese input-output table of 2010. It shows that logistics industry has the strongest inquiry and need on secondary industry; next is itself and the last is Agriculture. Second, the influence coefficient of logistics industry is after the second industry radiation ability; its status in national economy is strong and has become the dominant industry of national economic development. Furthermore, the degree of fluctuation for logistics industry is small, and its restriction role and bottleneck effect are obvious for national economy. Moreover, logistics industry is a sector with strong radiation and weak constraints and its promotion effect on national economy is more pronounced than that of national economy on itself.

The Review of SMEs Open Innovation Performance  [PDF]
Jin Zhang, Lizhen Chen
American Journal of Industrial and Business Management (AJIBM) , 2014, DOI: 10.4236/ajibm.2014.412077
Abstract: Open innovation has provided more opportunities and broader space for Small- and Medium- sized Enterprises (SMEs for short) in innovative practices, but also brought new challenges to SMEs. Focusing on the performance of SMEs in open innovation, this paper conducts a literature commentary from several aspects including innovation performance, constraints, impact and strategy of improving open innovation performance of SMEs on the basis of systematic domestic and foreign literature review. The paper also points out the direction for future research.
Promoting Balance in Output Efficiencies for Cross-Efficiency Evaluation in Data Envelopment Analysis  [PDF]
Jin-Xiao Chen
Journal of Applied Mathematics and Physics (JAMP) , 2019, DOI: 10.4236/jamp.2019.73047
Abstract: Cross-efficiency evaluation is recognized as an effective way of efficiency assessment for a set of decision making units (DMUs) in the framework of data envelopment analysis (DEA). It has been generally suggested that secondary goals be introduced for cross-efficiency evaluation owing to the non-uniqueness of optimal solutions in self-evaluation. This paper develops a variety of secondary goals in the spirit of promoting balance in the output efficiencies of the DMU under evaluation. The proposed models attempt to make each output contribute as equally as possible to the self-evaluated efficiency. In this way, the weight flexibility can for one thing be reduced by the introduced secondary goals with selections from alternate optimal solutions, in addition to counting on the dilution of flexibility in the subsequent peer-evaluation. The proposed approach might be applicable to evaluation problems in which multiple outputs are considered important and balance is encouraged to put all dimensions into sufficient use. The effectiveness of the proposed approach and its comparisons with some relevant secondary goals are illustrated empirically using numerical examples.
Principal Component Analyses in Anthropological Genetics  [PDF]
Xingdong Chen, Chao Chen, Li Jin
Advances in Anthropology (AA) , 2011, DOI: 10.4236/aa.2011.12002
Abstract: Principal component analyses (PCA) is a statistical method for exploring and making sense of datasets with a large number of measurements (which can be thought of as dimensions) by reducing the dimensions to the few principal components (PCs) that explain the main patterns. Thus, the first PC is the mathematical combination of measurements that accounts for the largest amount of variability in the data. Here, we gave an interpretation about the principle of PCA and its original mathematical algorithm, singular variable decomposition (SVD). PCA can be used in study of gene expression; also PCA has a population genetics interpretation and can be used to identify differences in ancestry among populations and samples, through there are some limitations due to the dynamics of microevolution and historical processes, with advent of molecular techniques, PCA on Y chromosome, mtDNA, and nuclear DNA gave us more accurate interpretations than on classical markers. Furthermore, we list some new extensions and limits of PCA.
Transitivity and Chaoticity in 1-D Cellular Automata  [PDF]
Fangyue Chen, Guanrong Chen, Weifeng Jin
International Journal of Modern Nonlinear Theory and Application (IJMNTA) , 2013, DOI: 10.4236/ijmnta.2013.21A008
Abstract:
Recent progress in symbolic dynamics of cellular automata (CA) shows that many CA exhibit rich and complicated Bernoulli-shift properties, such as positive topological entropy, topological transitivity and even mixing. Noticeably, some CA are only transitive, but not mixing on their subsystems. Yet, for one-dimensional CA, this paper proves that not only the shift transitivity guarantees the CA transitivity but also the CA with transitive non-trivial Bernoulli subshift of finite type have dense periodic points. It is concluded that, for one-dimensional CA, the transitivity implies chaos in the sense of Devaney on the non-trivial Bernoulli subshift of finite types.
High Temperature Polyol Synthesis of Superparamagnetic CoFe2O4 Nanoparticles for Magnetic Resonance Imaging Contrast Agents
CHEN Jin
无机材料学报 , 2009, DOI: 10.3724/sp.j.1077.2009.00967
Abstract: The superparamagnetic CoFe2O4 nanoparticles with core size of 510nm were prepared by high temperature polyol process using FeCl3 ¤6H2O, CoCl2 ¤6H2O and HOOC-PEG-COOH as reactants. The samples had good monodispersibility in aqueous solution. Moreover, the influences of reaction conditions such as varieties of modification agents and their amounts, reaction temperature and time on the size, dispersibility and magnetic properties of CoFe2O4 nanoparticles were investigated. The results indicate that choosing the modification agent with strong polar group, increasing the amount of modification agent, elevating reaction temperature and extending reaction time are beneficial to obtain samples with larger particle size, better watera2dispersibility and narrower size distribution. The optimum reaction condition is determined as follows, the weight ratio of metal source to HOOC-PEG-COOH is 1 q0, reaction temperature is 210-220 nd reaction time is 2h. Magnetic analysis shows that all the samples manifest a well-defined superparamagnetic behavior at room temperature. The larger the particle sizeis is, the higher saturation magnetizationis is.
Interspecific Variation in Compensatory Regrowth to Herbivory Associated with Soil Nutrients in Three Ficus (Moraceae) Saplings
Jin Zhao, Jin Chen
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0045092
Abstract: Plant compensatory regrowth is an induced process that enhances plant tolerance to herbivory. Plant behavior against herbivores differs between species and depends on resource availability, thus making general predictions related to plant compensatory regrowth difficult. To understand how soil nutrients determine the degree of compensatory regrowth for different plant species, we selected saplings of three Ficus species and treated with herbivore insects and artificial injury in both glasshouse conditions and in the field at two soil nutrient levels. Compensatory regrowth was calculated by biomass, relative growth rate and photosynthetic characteristics. A similar pattern was found in both the glasshouse and in the field for species F. hispida, where overcompensatory regrowth was triggered only under fertile conditions, and full compensatory regrowth occurred under infertile conditions. For F. auriculata, overcompensatory regrowth was stimulated only under infertile conditions and full compensatory regrowth occurred under fertile conditions. Ficus racemosa displayed full compensatory regrowth in both soil nutrient levels, but without overcompensatory regrowth following any of the treatments. The three Ficus species differed in biomass allocation following herbivore damage and artificial injury. The root/shoot ratio of F. hispida decreased largely following herbivore damage and artificial injury, while the root/shoot ratio for F. auriculata increased against damage treatments. The increase of shoot and root size for F. hispida and F. auriculata, respectively, appeared to be caused by a significant increase in photosynthesis. The results indicated that shifts in biomass allocation and increased photosynthesis are two of the mechanisms underlying compensatory regrowth. Contrasting patterns among the three Ficus species suggest that further theoretical and empirical work is necessary to better understand the complexity of the plant responses to herbivore damage.
Webgis-Based Telecommunication Resource Management Auxiliary Wiring System  [PDF]
Jin LUO, XiaoFang ZU, Guo CHEN
Journal of Geographic Information System (JGIS) , 2010, DOI: 10.4236/jgis.2010.21005
Abstract: This paper introduces the necessity and superiority of auxiliary wiring WEBGIS, as well as system implementation difficulties and countermeasures. Then explained the general concept of auxiliary wiring systems, data interface response, and finally introduced the system wiring switchover function, and gave an example.
Infinite Number of Disjoint Chaotic Subsystems of Cellular Automaton Rule 106  [PDF]
Gaocang Zhao, Fangyue Chen, Weifeng Jin
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.520303
Abstract: In this paper, the dynamics of rule 106, a Chua’s hyper Bernoulli cellular automata rule, is studied and discussed from the viewpoint of symbolic dynamics. It is presented that rule 106 defines a chaotic subsystem which is topologically mixing and possesses the positive topologically entropy. An effective method of constructing its chaotic subsystems is proposed. Indeed, it is interesting to find that this rule is filled with infinitely many disjoint chaotic subsystems. Special attention is paid to each subsystem on which rule 106 is topologically mixing and possesses the positive topologically entropy. Therefore, it is natural to argue that the intrinsic complexity of rule 106 is high from this viewpoint.
An Uncertain Programming Model for Competitive Logistics Distribution Center Location Problem  [PDF]
Bingyu Lan, Jin Peng, Lin Chen
American Journal of Operations Research (AJOR) , 2015, DOI: 10.4236/ajor.2015.56042
Abstract:

We employ uncertain programming to investigate the competitive logistics distribution center location problem in uncertain environment, in which the demands of customers and the setup costs of new distribution centers are uncertain variables. This research was studied with the assumption that customers patronize the nearest distribution center to satisfy their full demands. Within the framework of uncertainty theory, we construct the expected value model to maximize the expected profit of the new distribution center. In order to seek for the optimal solution, this model can be transformed into its deterministic form by taking advantage of the operational law of uncertain variables. Then we can use mathematical software to obtain the optimal location. In addition, a numerical example is presented to illustrate the effectiveness of the presented model.

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