Dalian, China
Dalian, China

Dalian University is a university in Dalian, Liaoning, China under the provincial government. Wikipedia.

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Zhang C.,Dalian University
Surgical Laparoscopy, Endoscopy and Percutaneous Techniques | Year: 2017

BACKGROUND:: The formation of gallbladder stones is associated with dysfunctional contraction and duodenal papilla diseases. However, endoscopic sphincterotomy can improve the contraction of the gallbladder and resolve duodenal papilla disease. AIM:: The aim of the study was to assess the feasibility and effectiveness of endoscopic sphincterotomy in the treatment of muddy stones or sludge in the gallbladder during papillary disease. METHODS:: The clinical data of 53 patients with gallbladder muddy stones or sludge undergoing endoscopic sphincterotomy were retrospectively analyzed. RESULTS:: A total of 53 patients received successful endoscopic sphincterotomy with no serious complications. Sphincterotomy did not significantly lower resting gallbladder volume from 63.2±10.8 to 50.1±5.9 mL (P>0.05), but significantly increased gallbladder ejection fraction from 0.41±0.13 to 0.63±0.16 (P<0.01), as measured by the lipoid food test. The static liver and gallbladder imaging examination also showed an increase in gallbladder ejection fraction from 0.45±0.08 to 0.68±0.11 (P<0.01). In addition, the choledochus pressure reduced from 21.9±4.0 to 15.6±2.5 mm Hg, and the gallbladder muddy stones or sludge disappeared after endoscopic sphincterotomy. At the end of the follow-up period, there was no relapse of sludge or muddy stones in the gallbladder. CONCLUSIONS:: The formation of gallbladder muddy stones or sludge is associated with papilla disease. Endoscopic sphincterotomy can resolve papilla disease, decrease gallbladder bile stasis, improve gallbladder evacuation, and prevent the formation of gallbladder stones. Copyright © 2017 Wolters Kluwer Health, Inc. All rights reserved.

Hou J.,Dalian University
ICIC Express Letters, Part B: Applications | Year: 2017

Entropy is one of the essential parameters in measuring disorder degree of the system. Technology entropy, therefore, is developed to represent a certain technology system’s disorder degree in a particular time. With analysis of entropy and life cycle, criterions related to technology entropy, this paper was put forward to analyze and dispose the judgment of technology entropy increment based on the properties of technology system. We constructed the patent-based model of technology entropy which can be used to monitor the technology development trend. This method was verified effective, scientific and practical via the case study of carbon capture technology. © 2017 ICIC International.

Product competitiveness determines the situation of enterprises in the business environment. As a result, efficient collection and analysis of product-related competitive intelligence are considered extremely urgent in the big data era. This paper attempts to explore a knowledge fusion approach to identify and integrate product-related competitive intelligence from diverse sources. On the one hand, it uses knowledge element model to describe product intelligence both from the enterprise inside and outside. On the other hand, a comprehensive fusion process, which is composed of similarity analysis and multi-attribute fusion, is proposed to optimize the knowledge framework of the collected intelligence. The results of a prototype experiment verified the feasibility and validity of the representation and fusion method of the extracted product-related competitive intelligence in this study. © 2017.

Sun L.,Dalian University
PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing | Year: 2017

In the big data era, business decision makers pay more attentions on competitive intelligence than ever before As one of the critical success factors of an enterprise, human resources determine the competitive position in the fierce market environment. Therefore, efficient analysis of human resources-related intelligence seems extremely urgent. This paper attempts to explore a knowledge representation approach for human resource intelligence from the perspective of enterprise resource theory. On one hand, it uses knowledge element model to describe human resource-related intelligence both from the enterprise inside and the competitive environment. On the other hand, a synthetical fusion process based on similarity computing and multi-attribute fusion is designed to further improve the knowledge framework of the collected intelligence, which is seen as the basis of the relation extraction and implicit relation discovery of knowledge element. Experiment resulte verified the feasibility and validity of this study. © 2016 IEEE.

Xu L.,Dalian University | He D.,Dalian Medical University | Bai Y.,Dalian University
Molecular Neurobiology | Year: 2016

Microglia are the main effectors in the inflammatory process of the central nervous system. As the first line of defense, microglia play an important role in the inflammatory reaction. When there is pathogen invasion or cell debris, microglia will be activated rapidly and remove it, while releasing the inflammatory cytokines to mediate inflammatory reaction. Activated microglia were found surrounding lesions of various neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, muscular amyotrophic lateral sclerosis, and multiple sclerosis. Microglia, the effectors of neuronal degeneration and necrosis, are involved in the removal of necrotic neurons. But over activated microglia may accelerate the process of some neurodegenerative diseases. Activated microglia can release cytotoxic factor and cytokines. Some of them may cause further damage to neuron, and some of them can regulate inflammatory cells to gather to the lesion. Microglia-mediated inflammation was considered to be the possible mechanism for the occurrence or deterioration of neurodegenerative diseases. Therefore, inhibiting the activity of microglia appropriately may be an effective way for the treatment of neurodegenerative diseases. © 2015, Springer Science+Business Media New York.

This paper addresses the waveform optimization problem for improving the detection performance of multi-input multioutput (MIMO) orthogonal frequency division multiplexing (OFDM) radar-based space-time adaptive processing (STAP) in the complex environment. By maximizing the output signal-to-interference-and-noise-ratio (SINR) criterion, the waveform optimization problem for improving the detection performance of STAP, which is subjected to the constant modulus constraint, is derived. To tackle the resultant nonlinear and complicated optimization issue, a diagonal loading-based method is proposed to reformulate the issue as a semidefinite programming one; thereby, this problem can be solved very efficiently. In what follows, the optimized waveform can be obtained to maximize the output SINR of MIMO-OFDM such that the detection performance of STAP can be improved. The simulation results show that the proposed method can improve the output SINR detection performance considerably as compared with that of uncorrelated waveforms and the existing MIMO-based STAP method. © 2017 Society of Photo-Optical Instrumentation Engineers (SPIE).

Niu Y.-J.,Dalian University | Wang X.-Y.,Dalian University of Technology
Nonlinear Dynamics | Year: 2013

This paper is concerned with the stabilization problem for a class of uncertain chaotic systems. Based on a set of linguistic rules, a novel variable universe fuzzy sliding-mode control approach is designed to improve the robustness and the stability of system. Based on Lyapunov stability theory, the overall closed-loop system is shown to be stable. The designed controller not only can control the uncertain chaotic system to a desired state, but also the control action is smooth without chattering. Simulation examples are presented to further illustrate the advantage of the proposed method. © 2012 Springer Science+Business Media B.V.

Based on fuzzy decision theory, multi objective fuzzy optimization is done for three dynamic model scheme of self-anchored cable-stayed suspension bridge. Combining the fuzzy decision method with engineering practice and using two comparison theory solves the problem of quantifying the qualitative indexes. Comparison results show that it is more reasonable to place viscous dampers between main tower and girder, with longitudinal displacement on mid-span of girder on the same time. This method can provide a reference for structure selection in practical conceptual design phase. © (2014) Trans Tech Publications, Switzerland.

In this study, we investigated the effect of DBD plasma at atmospheric pressure on membrane permeability, potential membrane and cytoplasmic free calcium concentration in Saccharomyces cerevisiae. S. cerevisiae cells were treated with DBD plasma for 0, 1, 2, 3, 4 and 5 min and then subjected to various analyses before the commencement of fermentation or at the middle (9 h) and end (21 h) stages of fermentation. The results show that compared to non-treated cells, cells treated with plasma for 2-5 min show significant increase in membrane potential, while cells treated for 2-4 min show significant increase in membrane permeability prior to fermentation. Plasma-treated cells also show increased cytoplasmic free Ca2+ that depends on plasma treatment time, with the highest increase, 35%, observed for 5-min treatment time. However, at the middle (9 h) and end (21 h) stages of fermentation, these changes become insignificant compared to the control. © (2014) Trans Tech Publications, Switzerland.

Li L.,Dalian University
Applied Mechanics and Materials | Year: 2014

The problem of Cramer-Rao bound for parameter estimation in norrowband bistatic Multiple-Input Multiple-Output (MIMO) radar system is considered. In this paper, we propose a new narrowband signal model to accurately estimate parameter from a moving target. The Cramer-Rao bound for target parameter estimation is derived and computed in closed form which shows that the optimal performance is achieved. Target location and parameter estimation performances are evaluated and studied theoretically and via simulations. © (2014) Trans Tech Publications, Switzerland.

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