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Search Results: 1 - 10 of 77202 matches for " Lin Xu "
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Surgical Treatment of Malignant Thymoma Invading the Superior Vena Cava
Lin XU
- , 2018, DOI: : 10.3779/j.issn.1009-3419.2018.04.05
Abstract: This paper introduced surgical treatment of malignancy-related superior vena cava syndrome. Typical cases were presented with diagnostic radiology results. Authors focused on the main approach to the malignancy-related superior vena cava syndrome of surgery. In order to make it simple for junior doctors to learn and practice, all 4 operation methods were described in details. The writer hopes it would be helpful for all the young thoracic surgeons.
A Novel Time Advancing Mechanism for Agent-Oriented Supply Chain Simulation
Xu Xu,Jie Lin
Journal of Computers , 2009, DOI: 10.4304/jcp.4.12.1301-1308
Abstract: Among the techniques supporting a multidecision context, as a supply chain is, distribution simulation can undoubtedly play an important role in a co-operative environment. The distribution simulation for supply chain has its advantages to find and solve bottleneck of supply chain. Considering the design of distribution simulation platform for supply chain, the realization of time synchronization and time advance will be the key points. This paper proposes an advancing mechanism that integrates High Level Architecture with multi-agent distributed simulation to meet time management in supply chain simulation, i.e., a ’heterogeneous’ system is built during our research. We present some preliminary experimental results which illustrate the performance of our advancing mechanism on our platform established. Finally, the experimental results have demonstrated the novel time advancing mechanism can be successfully applied in supply chain contexts, and surely prove that it is feasible and scientific.
Strategic Supplier Network for Supplier Selection
Xu Xu,Jie Lin
Journal of Computers , 2010, DOI: 10.4304/jcp.5.6.979-986
Abstract: Based on changing market conditions and pressure to different companies, the companies need to find strategic supplier network with the help of value network to increase more competencies and advantages. Supplier network optimization not only plays a key role to find cooperative network, but also increases more competencies across supply network. However, traditional supplier optimization for choosing direct suppliers no longer meet the requirements of strategic supplier network. There exists a link between supplier network and supplier selection. Thus, in order to satisfy the requirements of different evaluation criteria and business decision, this study proposes strategic supplier network for supplier selection. In-depth combined pattern mining is considered first to find the first-level or direct strategic suppliers. Then extend the whole supplier network, with the help of value network, graph theory and evaluation criteria, the strategic supplier network satisfied the needs of supply network is generated. After that, by using strategic supplier network, companies can select the most suitable suppliers.
Exact Solutions of Gardner Equations through tanh-coth Method  [PDF]
Lin Lin, Shiyong Zhu, Yinkang Xu, Yubing Shi
Applied Mathematics (AM) , 2016, DOI: 10.4236/am.2016.718186
Abstract: In this paper, we apply the tanh-coth method and traveling wave transformation method for solving Gardner equations, including (1 + 1)-Gardner and (2 + 1)- Gardner equations. The tanh-coth method proved to be reliable and effective in handling a large number of nonlinear dispersive and disperse equations. Through tanh-coth method, we get analytical expressions of soliton solutions of Gardner equations. The one-soliton solution is characterized by an infinite wing or infinite tail.
The Global and Pullback Attractors for a Strongly Damped Wave Equation with Delays*  [PDF]
Guoguang Lin, Fangfang Xia, Guigui Xu
International Journal of Modern Nonlinear Theory and Application (IJMNTA) , 2013, DOI: 10.4236/ijmnta.2013.24029
Abstract:

In this paper, we study the global and pullback attractors for a strongly damped wave equation with delays when the force term belongs to different space. The results following from the solution generate a compact set.

Solvent-Free Synthesis of 5-Alkenyl-2,2-butylidene-1, 3-dioxane-4,6-diones under Ultrasonic Irradiation with o-Phthalimide-N-Sulfonic Acid as Catalyst  [PDF]
Chunhua Lin, Zhaohui Xu, Weilin Liao
International Journal of Organic Chemistry (IJOC) , 2013, DOI: 10.4236/ijoc.2013.34039
Abstract:

5-Alkenyl-2,2-butylidene-1,3-dioxane-4,6-diones were synthesized by the Knoevenagel condensation reaction of aromatic aldehydes with 2,2-butylidene-1,3-dioxane-4,6-dione using o-phthalimide-N-sulfonic acid as catalyst, without solvent under ultrasonic irradiation. The present method has some notable advantages such as mild reaction conditions, short reaction times, less catalyst dosage and high yields with the green aspects by avoiding toxic catalysts and solvents. Further, the catalyst can be reused for five times without any noticeable decrease in the catalytic activity.

 

 

Optimal Investment under Dual Risk Model and Markov Modulated Financial Market  [PDF]
Lin Xu, Liming Zhang, Dongjin Zhu
Journal of Mathematical Finance (JMF) , 2015, DOI: 10.4236/jmf.2015.52015
Abstract: In this paper, the optimal investment problem for an agent with dual risk model is studied. The financial market is assumed to be a diffusion process with the coefficients modulated by an external process, which is specified by the solution to a kind of stochastic differential equation. The object of the agent is to maximize the expected utility from terminal wealth. Together with the regularity property of the value function, by dynamic programming principle, the value function of our control problem is turned to be the unique solution to the associated Hamilton-Jacob-Bellman (HJB for short) equation. When the utility is an exponential function with constant risk aversion, close form expressions for value function and optimal investment policy are obtained.
GACEM: Genetic Algorithm Based Classifier Ensemble in a Multi-sensor System
Rongwu Xu,Lin He
Sensors , 2008, DOI: 10.3390/s8106203
Abstract: Multi-sensor systems (MSS) have been increasingly applied in pattern classification while searching for the optimal classification framework is still an open problem. The development of the classifier ensemble seems to provide a promising solution. The classifier ensemble is a learning paradigm where many classifiers are jointly used to solve a problem, which has been proven an effective method for enhancing the classification ability. In this paper, by introducing the concept of Meta-feature (MF) and Trans-function (TF) for describing the relationship between the nature and the measurement of the observed phenomenon, classification in a multi-sensor system can be unified in the classifier ensemble framework. Then an approach called Genetic Algorithm based Classifier Ensemble in Multi-sensor system (GACEM) is presented, where a genetic algorithm is utilized for optimization of both the selection of features subset and the decision combination simultaneously. GACEM trains a number of classifiers based on different combinations of feature vectors at first and then selects the classifiers whose weight is higher than the pre-set threshold to make up the ensemble. An empirical study shows that, compared with the conventional feature-level voting and decision-level voting, not only can GACEM achieve better and more robust performance, but also simplify the system markedly.
Effects of isolation after sexual experience on anxiety-like, depressive-like behaviors and affective states in male rats
Fei Wen,Lin Xu
Chinese Science Bulletin , 2010, DOI: 10.1007/s11434-010-4223-z
Abstract: Studies on social isolation have provided evidence for an enhanced anxiety-like phenotype, depressive-like symptoms and higher levels of 22-kHz ultrasonic vocalizations (USVs); whereas sexual experience could induce significant changes in affective states, decrease anxiety- and depressive-like responses. However, the behavioral and emotional alterations in male rats exposed to isolation after sexual experience remain poorly understood. Therefore, the present study examined anxiety- and depressive-like parameters, as well as USV emissions in male rats isolated for 1, 2, or 7 d following 1-week sexual (male-female paired housing) or social (male-male paired housing) interaction. Isolation for 1 d resulted in increased depressive-like symptoms, and 2-d isolation induced elevated anxiety-like behavior in sexually inexperienced rats, while rats with sexual experience exhibited comparable levels of emotionality at each isolation time. Moreover, isolated rats without sexual experience emitted less 22- and 50-kHz USVs, but sexually experienced rats exhibited similar affective states compared with control ones. These results suggested that prior sexual experience could have a modulatory effect on experimental rat emotional responses to isolation.
A tensor approach to the estimation of hydraulic conductivities in Table Mountain Group aquifers of South Africa
L Lin, Y Xu
Water SA , 2006,
Abstract: Based on the field measurements of the physical properties of fractured rocks, the anisotropic properties of hydraulic conductivity (HC) of the fractured rock aquifer can be assessed and presented using a tensor approach called hydraulic conductivity tensor. Three types of HC values, namely point value, axial value and flow direction one, are derived for their possible applications. The HC values computed from the data measured on the weathered or disturbed zones of rock outcrops tend to give the upper limit values. To simulate realistic variations of the hydraulic property in a fractured rock aquifer, two correction coefficients, i.e. the fracture roughness and combined stress conditions, are adapted to calibrate the tensor model application. The application results in the Table Mountain Group (TMG) aquifers show that the relationship between the HC value and fracture burial depths follows an exponential form with the power hyperbola. Water SA Vol.32 (3) 2006: pp.371-378
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