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Application of a Hybrid Intelligent Optimization Algorithm in Cloud Computing Resources Scheduling
Zhang Chun-na,Li Yi-ran 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.10
The resource scheduling imbalance is a multi-objective optimization problem in cloud computing environment, this paper introduced the particle swarm optimization algorithm in cloud computing, a simulated annealing ideas is proposed in view of the prematurity of the algorithm, on the premise of performance determination, the position of the particle is determined by the probability choice, which helps the particle to escape. In order to enhance the global searching ability of the particle, the algorithm is combined with the chaotic mechanism to improve the accuracy of the algorithm. The inertia weight is adjusted dynamically according to the current state of the particle, accordingly, at the same time to obtain the optimal solution to ensure the convergence. Analysis of the experimental results show that the improved algorithm has a significant improvement in the ability of optimization and convergence speed, compared with other algorithms, the benchmark functions comparison is better, the different resource task proportion spent the shortest time and load balancing is the highest.
A Improved Algorithm of Quantum Particle Swarm with Fast Convergence
Zhang Chun-na,Li Yi-ran,Li Jun-feng 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.6
An improved algorithm of quantum particle swarm with chaos is presented to solve the problem that the traditional particle swarm algorithm is easy to fall into local optimum and converges very slowly. Through analysis the current state of particles in the iteration, to determine and deal with the particle of poor performance, and keep the normal state continue to complete the search optimal solution, which effectively inhibit premature phenomenon of the particles, and improve the overall search ability of particle swarm. At the same time, in order to improve the performance of the algorithm, introducing chaos mechanism, further enhance the search ability of particle. The experiments of benchmark function show that the improved algorithm has obvious advantages compared with the other two algorithms, it has higher stability and accuracy and faster convergence speed at the same time.
A Hybrid Intelligent Optimization Algorithm of Fast Convergence
Li Yi-ran,Zhang Chun-na 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
A hybrid intelligent optimization algorithm based on quantum particle swarm is presented to solve the problem that the local search ability of traditional SFLA is poor and converges very slowly. The particle is quantized and introduced chaos mechanism in the algorithm in order to enhance the global search ability, using the escape strategy, the group is divided into three clusters and mutation operation on the cluster within individuals, not only improves the convergence speed and ensure the performance of the algorithm. Experiments show that the improved algorithm has the characteristics of strong optimization capability and performance is improved greatly in whether comparison of the baseline function or analysis of universal database, compared with the other two algorithms have obvious advantages.
Chun-Yan Wang,Mengqi Zhang,Huan Li,Na Wang 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.10
An event-triggered adaptive tracking control problem is investigated for a class of switched nonstrictfeedback nonlinear systems with unknown control directions and switching signals. With a linear observer, the output feedback stabilization is achieved under arbitrary switching. The key advantages of the proposed control strategy are that the tracking prescribed performance is ensured regardless of the unknown control directions. Only one tuning parameter needs to be estimated during the recursive process. Moreover, with a varying threshold, a common event-triggered mechanism is developed. Based on the Lyapunov stability theory and the dynamic surface backstepping technique, the developed control method theoretically proves that under arbitrary switching, all signals of the resulting closed-loop switched system are bounded and the tracking error can converge to a small neighborhood of the origin within the prescribed bounds. The Zeno behavior is also avoided. The effectiveness and feasibility are demonstrated by two examples.
Ginseng polysaccharides: A potential neuroprotective agent
Na Wang,Xianlei Wang,Mengjiao He,Wenxiu Zheng,Dongmei Qi,Yongqing Zhang,Chun-chao Han 고려인삼학회 2021 Journal of Ginseng Research Vol.45 No.2
The treatments of nervous system diseases (NSDs) have long been difficult issues for researchers because of their complexity of pathogenesis. With the advent of aging society, searching for effective treatments of NSDs has become a hot topic. Ginseng polysaccharides (GP), as the main biologically active substance in ginseng, has various biological properties in immune-regulation, anti-oxidant, anti-inflammation and etc. Considering the association between the effects of GP and the pathogenesis of neurological disorders, many related experiments have been conducted in recent years. In this paper, we reviewed previous studies about the effects and mechanisms of GP on diseases related to nervous system. We found GP play an ameliorative role on NSDs through the regulation of immune system, inflammatory response, oxidative damage and signaling pathway. Structure-activity relationship was also discussed and summarized. In addition, we provided new insights into GP as promising neuroprotective agent for its further development and utilization.
Zhang, Yu-Mei,Li, Yong-Qiang,Liu, Zhi-Hui,Liao, Xiao-Li,Liang, Rong,Lin, Yan,Yuan, Chun-Ling,Liao, Si-Na,Liang, Chao-Yong,Li, Qian,Li, Le-Qun Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.8
Objective: To observe the clinical efficacy of bevacizumab concomitant with pemetrexed in patients with advanced non-small cell lung cancer (NSCLC). Materials and Methods: A total of 72 patients were randomly divided into a combination group (pemetrexed+bevacizumab, n=36) and a pemetrexed group (n=36) and assessed for disease control (CR+PR+SD) after 4-cycles of first-line GP chemotherapy (gemcitabine+cisplatin). Clinical efficacy, progression-free survival time (PFS), overall survival time (OS), overall response rate (ORR), disease control rate (DCR) and rate of adverse responses between two groups were observed and compared. Results: ORR and DCR were 27.8% and 83.4% in combination group, and 16.7% and 69.5% in the pemetrexed group, respectively, but there were no significant differences (P>0.05). PFS in combination group and pemetrexed group were 4.6 months and 3.9 months respectively (P=0.09), whereas OS in the combination group was 14 months, evidently higher than in the pemetrexed group (11 months, P=0.004). Adverse responses in both groups included high blood pressure, bleeding, thrombocytopenia, anemia, elevated transaminase, diarrhea, vomiting and proteinuria, but there were no significant differences (P>0.05). Conclusions: Bevacizumab concomitant with pemetrexed has better clinical efficacy and safety, giving rise to prolonged survival time in patients with advanced NSCLC.
( Mi Na Kim ),( Chun-han Lo ),( Kathleen E. Corey ),( Xuehong Zhang ),( Andrew T. Chan ),( Tracey G. Simon ) 대한간학회 2020 춘·추계 학술대회 (KASL) Vol.2020 No.1
Aims: Gut microbial dysbiosis is associated with the development of nonalcoholic fatty liver disease (NAFLD). Antibiotics can alter the composition of the gut microbiota. However, the association of antibiotic use with the risk of NAFLD has not been clarified in a population at usual risk. We investigated the association of the duration of antibiotic use in different phases of adulthood with the risk of NAFLD. Methods: This study included 68,644 women in the Nurses’ Health Study II cohort without NAFLD at baseline (in 2005). Participants were followed prospectively through 2015. In the 2005 questionnaire, women were asked to indicate the cumulative amount of antibiotic use at age 20-39 years (young adulthood) or 40-49 years (middle adulthood). Cox proportional hazard models were used to estimate multivariable adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs). Results: Over a total of 534,644 person-years, we documented 1,944 incident cases of NAFLD. Compared to women with no antibiotic use during young adulthood, use of long-term antibiotics for ≥2 months was associated with significantly increased risk of incident NAFLD (multivariable aHR 1.48, 95% CI 1.03- 2.11). In analyses focused on middle adulthood, compared to women who did not use antibiotics during middle adulthood, those with both short-term (<2 months) and long-term (≥2 months) antibiotics use had significantly increased risk of incident NAFLD (multivariable aHRs, 1.32 [95% CI 1.01-1.72] and 1.83 [95% CI 1.37-2.45], respectively). Conclusions: In conclusion, long-term antibiotic use in both young and middle adulthood was associated with a significantly increased risk of developing incident NAFLD. These findings support the potential role of the gut microbiota in the pathogenesis of NAFLD.