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Search Results: 1 - 10 of 63146 matches for " Lin Hu "
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A Review of Workaholism and Prospects  [PDF]
Lin Hu
Open Journal of Social Sciences (JSS) , 2018, DOI: 10.4236/jss.2018.611024
Abstract: As a kind of working group and organization situation in the background of today’s age, workaholism has become a research topic which scholars have paid more and more attention to. It is of great theoretical and practical significance to carry out the study of workaholism in organizational behavior and human resource management, which not only allows managers to better adapt to the current organizational situation to improve management efficiency, but also broadens the research perspective of employee motivation. At present, the research on workaholism has not yet formed a perfect research system. Foreign research focuses on the outcome variables and mechanism of workaholism, while domestic research stays at the initial phase in this field. Accordingly, based on a systematic review of foreign literature, this paper introduces the concept and measurement of workaholism, and systematically sorts out the antecedents and outcomes of workaholism, ultimately in the hope of providing a prospect of future research about workaholism. At the same time, on this basis build a comprehensive intervention system of workaholism, thus providing practical guidance on intervention to work addiction phenomenon.
Permanence and Global Stability for a Non-Autonomous Predator-Prey Model with Modified Leslie-Gower and Holling-Type II Schemes with Delays  [PDF]
Lin Hu, Linfei Nie
Applied Mathematics (AM) , 2011, DOI: 10.4236/am.2011.21006
Abstract: In this paper, a nonautonomous predator-prey system based on a modified version of the Leslie-Gower scheme and Holling-type II scheme with delayed effect is investigated. The general criteria of integrable form on the permanence are established. By constructing suitable Lyapunov functionals, a set of easily verifiable sufficient conditions are derived for global stability of any positive solutions to the model
Adaptive Fuzzy Sliding Controller with Dynamic Compensation for Multi-Axis Machining  [PDF]
Hu LIN, Rongli GAI
Journal of Software Engineering and Applications (JSEA) , 2009, DOI: 10.4236/jsea.2009.24037
Abstract: The precision of multi-axis machining is deeply influenced by the tracking error of multi-axis control system. Since the multi-axis machine tools have nonlinear and time-varying behaviors, it is difficult to establish an accurate dynamic model for multi-axis control system design. In this paper, a novel adaptive fuzzy sliding model controller with dynamic compensation is proposed to reduce tracking error and to improve precision of multi-axis machining. The major ad-vantage of this approach is to achieve a high following speed without overshooting while maintaining a continuous CNC machine tool process. The adaptive fuzzy tuning rules are derived from a Lyapunov function to guarantee stability of the control system. The experimental results on GJ-110 show that the proposed control scheme effectively minimizes tracking errors of the CNC system with control performance surpassing that of a traditional PID controller.
A Neuron Model with Dendritic Nonlinearity for Predicting the Influence of Overreaction in Shanghai Stock Market  [PDF]
Sha Zijun, Hu Lin
Chinese Studies (ChnStd) , 2015, DOI: 10.4236/chnstd.2015.41001
Abstract: On the basis of previous research, this study assembled trading data from January 2004 to October 2014 to verify the overreaction in Shanghai stock market. The influence of overreaction decreases with time from 2007 onwards and turns to disappear from 2011. The neuron model with dendritic nonlinearity (NMDN) proposed in this paper fits and predicts the variability of abnormal returns of ill-preforming and well-preforming stocks in the test period. This experiment demonstrates that NMDN possesses high computational ability and succeeds to predict trends in the influence of overreaction.
The Inertial Manifold for a Class of Nonlinear Higher-Order Coupled Kirchhoff Equations with Strong Linear Damping  [PDF]
Guoguang Lin, Lingjuan Hu
International Journal of Modern Nonlinear Theory and Application (IJMNTA) , 2018, DOI: 10.4236/ijmnta.2018.72003
Abstract: This paper considers the long-time behavior for a system of coupled wave equations of higher-order Kirchhoff type with strong damping terms. Using the Hadamard graph transformation method, we obtain the existence of the inertial manifold while such equations satisfy the spectral interval condition.
Bioaccumulative Characteristics of Polybrominated Diphenyl Ethers in Channel Catfish and Fish Feeds from China  [PDF]
Xiaozhong Hu, Decong Hu, Bin Wu, Changjun Lin
Journal of Environmental Protection (JEP) , 2014, DOI: 10.4236/jep.2014.511095
Abstract:

PBDEs are widely used brominated flame retardant, which are increasingly reported in the environment. Concentrations of thirteen PBDEs in a large number of channel catfish and fish feeds collected from Hubei province of China were investigated in this study. A fast isotopic dilution GC-MS method was firstly developed to simultaneously determine thirteen PBDEs in channel catfish and fish feeds in this study, and especially for the first time PBDEs in fish feeds. Pressurized liquid extraction and multi-layer silica gel column chromatography cleanup were used, some important steps and crucial parameters were modified and intensified compared with other literatures, and GC and MS conditions were optimized. The limits of quantitation values of 0.25 - 5 μg·kg-1 wet weight in channel catfish were calculated for PBDEs; so did 1 - 20 μg·kg-1 wet weight in fish feeds. In addition, good repeatability and accuracy of the whole method were achieved. The established methods were therefore suitable for the simultaneous determinations of thirteen PBDEs

Optimum Setting Strategy for WTGS by Using an Adaptive Neuro-Fuzzy Inference System  [PDF]
Yang Hu, Jizhen Liu, Zhongwei Lin
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B078
Abstract: With the popularization of wind energy, the further reduction of power generation cost became the critical problem. As to improve the efficiency of control for variable speed Wind Turbine Generation System (WTGS), the data-driven Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to establish a sensorless wind speed estimator. Moreover, based on the Supervisory Control and Data Acquisition (SCADA) System, the optimum setting strategy for the maximum energy capture was proposed for the practical operation process. Finally, the simulation was executed which suggested the effectiveness of the approaches.
A Game Theoretic Approach for Analyzing the System of Incentives and Restraints Present in Chinese Financial Systems  [PDF]
Lin Hu, Fan Yang, Zijun Sha
Theoretical Economics Letters (TEL) , 2014, DOI: 10.4236/tel.2014.47066
Abstract:

Currently, the most important issue with respect to financial institutions is how to motivate staff without providing perverse incentives. For instance, with the implementation of a proper incentive system, staff will be motivated via their self-interest to create financial innovations to better price and hedge risk. However, this system must also be designed with checks and balances in mind because it is also very easy to institute a system in which perverse incentives drive individual behavior. In an effort to modernize the Chinese financial system, it is important to understand both the underlying mechanism by which people respond to incentives to better design compensation schemes that maximize innovation. Utilizing game theory, it is possible to analyze the interplay between these two drivers of human action. From this analysis it becomes possible to design better ways of compensating staff to curb undesirable behavior by those in the financial industry while still promoting innovation within the field.

Mean-Square Convergence of Drift-Implicit One-Step Methods for Neutral Stochastic Delay Differential Equations with Jump Diffusion
Lin Hu,Siqing Gan
Discrete Dynamics in Nature and Society , 2011, DOI: 10.1155/2011/917892
Abstract: A class of drift-implicit one-step schemes are proposed for the neutral stochastic delay differential equations (NSDDEs) driven by Poisson processes. A general framework for mean-square convergence of the methods is provided. It is shown that under certain conditions global error estimates for a method can be inferred from estimates on its local error. The applicability of the mean-square convergence theory is illustrated by the stochastic θ-methods and the balanced implicit methods. It is derived from Theorem 3.1 that the order of the mean-square convergence of both of them for NSDDEs with jumps is 1/2. Numerical experiments illustrate the theoretical results. It is worth noting that the results of mean-square convergence of the stochastic θ-methods and the balanced implicit methods are also new. 1. Introduction In stochastic numerical analysis, the order of convergence plays a crucial role in the design of numerical algorithms. Unlike in the deterministic modelling situation, there exist in the stochastic environment different types of convergence. Both in the literature and in practice, most attention is focused on two major types of convergence, that is, strong convergence and weak convergence. There is a rich literature on this subject; we here only mention [1–4] and the references therein. For stochastic differential equations (SDEs), Milstein [1] presented a fundamental convergence theorem which established the order of mean-square convergence of explicit one-step methods. The conditions of this theorem use both properties of mean and mean-square deviation of one-step approximation. The theorem showed that under certain conditions global error estimates for a method can be inferred from estimates on its local error. Buckwar [4] extended the convergence theory in [1] to stochastic functional differential equations. Recently, Zhang and Gan [5] extend the theory to neutral stochastic differential delay equations (NSDDEs). Therefore, the convergence theory in [1] and its generalization have received some attention in the case of nonjump SDEs. However, in the jump-SDE context, which is becoming increasingly important in mathematical finance [6–8], to our best knowledge, no corresponding convergence theory of numerical methods for NSDDEs with jumps has been presented in the literature. Motivated by the work of Zhang and Gan [5], our aim is to establish a relationship between the consistent order and the convergence order of the methods for the NSDDEs with jumps. In this paper, a class of drift-implicit one-step schemes are proposed for NSDDEs driven by
Molecular mechanism of abnormal aggregation of α-synuclein
HongYu Hu,XiaoJing Lin
Chinese Science Bulletin , 2007, DOI: 10.1007/s11434-007-0037-z
Abstract: The abnormal aggregation of α-synuclein (α-Syn) is thought to be closely associated with Parkinson’s disease, but the pathogenesis is still unclear. In this review, we survey the latest development in the molecular mechanism of abnormal α-Syn aggregation, especially in the aspects of the core sequences, aggregation inhibitors, structural transformation and filament morphologies. By exploring the mechanism of α-Syn aggregation, we will have a better understanding of the disease pathogenesis, and develop strategies for preventing and treating this severe disease.
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