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| 1 | Chinese progress in geomorphometry显示文摘Geomorphometry,the science of digital terrain analysis(DTA),is an important focus of research in both geomorphology and geographical information science(GIS).Given that 70% of China is mountainous,geomorphological research is popular among Chinese scholars,and the development of GIS over the last 30 years has led to significant advances in geomorphometric research.In this paper,we review Chinese progress in geomorphometry based on the published literature.There are three major areas of progress:digital terrain modelling methods,DTA methods,and applications of digital terrain models(DTMs).First,traditional vector-and raster-based terrain modelling methods,including the assessment of uncertainty,have received widespread attention.New terrain modelling methods such as unified raster and vector,high-fidelity,and real-time dynamic geographical scene modelling have also attracted research attention and are now a major focus of digital terrain modelling research.Second,in addition to the popular DTA methods based on topographical derivatives,geomorphological features,and hydrological factors extracted from DTMs,DTA methods have been extended to include analyses of the structure of underlying strata,ocean surface features and even socioeconomic spatial structures.Third,DTMs have been applied to fields including global climate change,analysis of various typical regions,lunar surface and other related fields.Clearly,Chinese scholars have made significant progress in geomorphometry.Chinese scholars have had the greatest international impact in areas including high-fidelity digital terrain modelling and DTM-based regional geomorphological analysis,particularly in the Loess Plateau and the Tibetan Plateau regions. | LV Guonian XIONG Liyang CHEN Min TANG Guoan SHENG Yehua LIU Xuejun SONG Zhiyao LU Yuqi YU Zhaoyuan ZHANG Ka WANG Meizhen | 2017 | Journal of Geographical Sciences2017,27,11: | 14 |
| 2 | A strategic flight conflict avoidance approach based on a memetic algorithm显示文摘Conflict avoidance(CA) plays a crucial role in guaranteeing the airspace safety. The current approaches,mostly focusing on a short-term situation which eliminates conflicts via local adjustment,cannot provide a global solution. Recently,long-term conflict avoidance approaches,which are proposed to provide solutions via strategically planning traffic flow from a global view,have attracted more attentions. With consideration of the situation in China,there are thousands of flights per day and the air route network is large and complex,which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions,in this work,we present an effective strategic framework based on a memetic algorithm(MA),which can markedly improve search capability via a combination of population-based global search and local improvements made by individuals. In addition,a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore,a fast genetic algorithm(GA) is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outperformed the existing approaches including the GA based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches. | Guan Xiangmin Zhang Xuejun Han Dong Zhu Yanbo Lv Ji Su Jing | 2014 | Chinese Journal of Aeronautics2014,27,1: | 8 |
| 3 | A large-scale multi-objective flights conflict avoidance approach supporting 4D trajectory operation显示文摘Recently, the long-term conflict avoidance approaches based on large-scale flights scheduling have attracted much attention due to their ability to provide solutions from a global point of view. However, current approaches which focus only on a single objective with the aim of minimizing the total delay and the number of conflicts, cannot provide controllers with variety of optional solutions, representing different tradeoffs. Furthermore, the flight track error is often overlooked in the current research. Therefore, in order to make the model more realistic, in this paper, we formulate the long-term conflict avoidance problem as a multi-objective optimization problem, which minimizes the total delay and reduces the number of conflicts simultaneously. As a complex air route network needs to accommodate thousands of flights, the problem is a large-scale combinatorial optimization problem with tightly coupled variables, which make the problem difficult to deal with. Hence,in order to further improve the search capability of the solution algorithm, a cooperative co-evolution(CC)algorithm is also introduced to divide the complex problem into several low dimensional sub-problems which are easier to solve. Moreover, a dynamic grouping strategy based on the conflict detection is proposed to improve the optimization efficiency and to avoid premature convergence. The well-known multi-objective evolutionary algorithm based on decomposition(MOEA/D) is then employed to tackle each sub-problem. Computational results using real traffic data from the Chinese air route network demonstrate that the proposed approach obtained better non-dominated solutions in a more effective manner than the existing approaches, including the multi-objective genetic algorithm(MOGA), NSGAII, and MOEA/D. The results also show that our approach provided satisfactory solutions for controllers from a practical point of view. | Xiangmin GUAN Xuejun ZHANG Renli LV Jun CHEN Weiszer MICHAL | 2017 | Science China(Information Sciences)2017,60,11: | 8 |
| 4 | Interactions of Sn and S and their effects on the magnetic properties of non-oriented silicon steel sheets显示文摘The interactions of Sn and S and their effects on the magnetic properties of non-oriented silicon steel sheets were discussed in reference to industrial production.Results show that minor amounts of Sn can improve magnetic induction sharply but have little effect on core loss when the S content is below 10×10-4%.The precipitation of AIN can be restrained effectively by Sn.Sn,as the nucleus,can remove some of the inclusions with a size of 0.5μm or larger,but has little effect on inclusions smaller than 0.5μm,which is the key factor affecting core loss.Sn improves the magnetic induction of finished steel sheets mainly through the change of the steel texture.The relationship between the magnetic induction and Sn and S content can be regressed as B50= 1.69 -4.37 ws+0.30 wSn.From the regression formulation,the magnetic induction can be improved by 0.03 T when 0.01%Sn is added under relatively low S content conditions. | ZHANG Feng WANG Bo LV Xuejun CHEN Lingyun | 2013 | Baosteel Technical Research2013,7,2: | 8 |
| 5 | Photo-assisted degradation of anionic and cationic dyes over iron (Ⅲ)- loaded resin in the presence of hydrogen peroxide 显示文摘 | Lv Xuejun Xu Yiming Lv Kangle | 2005 | Journal of Photochemistry and Photobiology A: Chemistry2005,173,2: | 1 |
| 6 | Immunohistochemical expression oftranscription factor Sp3 during dental enamel development in SD rat tooth germ显示文摘 | Lv Ping Jia HongTi Gao XueJun | 2006 | Eur J Oral Sci2006,114,: | 1 |
| 7 | Ozone Disinfection Test in Chicken House显示文摘[Objective] The paper was to verify the disinfection effect of ozone on livestock and poultry houses.[Method] The empty chicken house was disinfected by ozone with the help of ozone disinfector.[Result] As the ozone disinfector was worked for 60 min,the average sterilizing rate of air was 85.33%;the average sterilizing rate on the surface of chicken coop was 86.77%;and the average sterilizing rate of wall was 89.13%.The disinfection effect was obvious.[Conclusion] The results will provide references for promotion and application of ozone disinfector in breeding in-dustry. | Lv Yanqiu Huang Dongfeng Yang Xingang Yao Xuejun Ba Liangxing Xue Yong Wang Meili Xing Guodong Zhao Yongfu Li Chunmei Meng Weiya Wang Yimeng | 2018 | Animal Husbandry and Feed Science2018,10,2: | 0 |
| 8 | Recent progress of high silicon electrical steels显示文摘This paper summarized recent progress of high silicon grain-oriented and non-oriented electrical steels. Technical development in composition adjustment,inclusion control and process optimization was introduced,and future development trend was explored.In addition,a brief introduction was provided to technical progress of high silicon thingauge strips with a Si content of 6.5%. | YANG Guohua LV Xuejun ZHANG Feng HUANG Jie | 2013 | Baosteel Technical Research2013,7,2: | 0 |
| 9 | Activation of NRF2 by celastrol increases antioxidant functions and prevents the progression of osteoarthritis in mice显示文摘Excessive oxidative stress impairs cartilage matrix metabolism balance,significantly contributing to osteoarthritis(OA)development.Celastrol(CSL),a drug derived from Tripterygium wilfordii,has recognized applications in the treatment of cancer and immune system disorders,yet its antioxidative stress mechanisms in OA remain underexplored.This study aimed to substantiate CSL’s chondroprotective effects and unravel its underlying mechanisms.We investigated CSL’s impact on chondrocytes under both normal and inflammatory conditions.In vitro,CSL mitigated interleukin(IL)-1β-induced activation of proteinases and promoted cartilage extracellular matrix(ECM)synthesis.In vivo,intra-articular injection of CSL ameliorated cartilage degeneration and mitigated subchondral bone lesions in OA mice.Mechanistically,it was found that inhibiting nuclear factor erythroid 2-related factor 2(NRF2)abrogated CSL-mediated antioxidative functions and exacerbated the progression of OA.This study is the first to elucidate the role of CSL in the treatment of OA through the activation of NRF2,offering a novel therapeutic avenue for arthritis therapy. | LIU Mingming GUO Jiatian ZHAO Jing LI Hongye FENG Xiaoxiao LIU Haojun ZHANG Hao JIA Xuejun WEI Rushuai LI Fang CHEN Chong HOU Mingzhuang LV Nanning XU Haiyan | 2024 | Chinese Journal of Natural Medicines2024,22,2: | 0 |