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| 1 | State-of-the-Art Review of High-Throughput Statistical Spatial-Mapping Characterization Technology and Its Applications显示文摘Macroscopic materials are heterogeneous,multi-elementary,and complex.No material is homogeneous or isotropic at a certain small scale.Parts of the material that differ from one another can be termed'natural chips.'At different spots on the material,the composition,structure,and properties vary slightly,and the combination of these slight differences establishes the overall material performance.This article presents a state-of-the-art review of research and applications of high-throughput statistical spatialmapping characterization technology based on the intrinsic heterogeneity within materials.Highthroughput statistical spatial-mapping uses a series of rapid characterization techniques for analysis from the macroscopic to the microscopic scale.Datasets of composition,structure,and properties at each location are obtained rapidly for practical sample sizes.Accurate positional coordinate information and references to a point-to-point correspondence are used to set up a database that contains spatialmapping lattices.Based on material research and development design requirements,dataset spatialmapping within required target intervals is selected from the database.Statistical analysis can be used to select a suitable design that better meets the targeted requirements.After repeated verification,genetic units that reflect the material properties are determined.By optimizing process parameters,the assembly of these genetic unit(s)is verified at the mesoscale,and quantitative correlations are established between the microscale,mesoscale,macroscale,practical sample,across-the-scale span composition,structure,and properties.The high-throughput statistical spatial-mapping characterization technology has been applied to numerous material systems,such as steels,superalloys,galvanization,and ferrosilicon alloys.This approach has guided the composition and the process optimization of various materials. | Haizhou Wang Lei Zhao Yunhai Jia Dongling Li Lixi Yang Yuhua Lu Guang Feng Weihao Wan | 2020 | Engineering2020，6，6： | 7 |
| 2 | Chiral assembly of achiral pseudoisocyanine with D-and L-phenylalanine显示文摘Supramolecular chirality and molecular self-assembly are important and interesting phenomena in living and non-living systems.In this work,supramolecular chirality of achiral pseudoisocyanine(PIC) J-aggregates was successfully induced by D-,L-phenylalanine(Phe) and other amino acids in NaCl solution.The chiral J-aggregates showed a characteristic,induced circular dichroism(ICD) in the visible region of J-band chromophore which depends on the absolute configuration,concentration and side groups of α-amino acids,as well as temperature.The atomic force microscopy images indicated that the J-aggregates exist in large bundles of entangled nanofibers,and the observed ICD might result from the macroscopic helical arrangement of the assemblies. | ZENG LiXi HE YuJian DAI ZhiFeng WANG Jian WANG CaiQi YANG YongGang | 2009 | Science China Chemistry2009，52，8： | 2 |
| 3 | Long-Term Treatment with Lithium Alleviates Memory Deficits and Reduces Amyloid-β Production in an Aged Alzheimer's Disease Transgenic Mouse Model显示文摘 | Xin Zhang Xin Heng Ting Li Lixi Li Dehua Yang Xiaojie Zhang Yunlan Du Rachelle S. Doody Weidong Le | 2011 | Journal of Alzheimer's Disease2011，，4： | 1 |
| 4 | Collaborative slot secondary allocation based on flight wave operation显示文摘Purpose-Flights are often delayed owing to emergencies.This paper proposes a cooperative slot secondary assignment(CSSA)model based on a collaborative decision-making(CDM)mechanism,and the operation mode of flight waves designs an improved intelligent algorithm to solve the optimal flight plan and minimize the total delay of passenger time.Design/methodology/approach-Taking passenger delays,transfer delays and flight cancellation delays into account comprehensively,the total delay time is minimized as the objective function.The model is verified by a linear solver and compared with the first come first service(FCFS)method to prove the effectiveness of the method.An improved adaptive partheno-genetic algorithm(IAPGA)using hierarchical serial number coding was designed,combining elite and roulette strategies to find pareto solutions.Findings-Comparing and analyzing the experimental results of various scale examples,the optimization model in this paper is greatly optimized compared to the FCFS method in terms of total delay time,and the IAPGA algorithm is better than the algorithm before in terms of solution performance and solution set quality.Originality/value-Based on the actual situation,this paper considers the operation mode of flight waves.In addition,the flight plan solved by the model can be guaranteed in terms of feasibility and effectiveness,which can provide airlines with reasonable decision-making opinions when reassigning slot resources. | Kejia Chen Jintao Chen Lixi Yang Xiaoqian Yang | 2023 | International Journal of Intelligent Computing and Cybernetics2023，16，2： | 0 |
| 5 | A hybrid genetic algorithm for multi-objective flexible job shop scheduling problem considering transportation time显示文摘Purpose–Flexible job-shop scheduling is significant for different manufacturing industries nowadays.Moreover,consideration of transportation time during scheduling makes it more practical and useful.The purpose of this paper is to investigate multi-objective flexible job-shop scheduling problem(MOFJSP)considering transportation time.Design/methodology/approach–A hybrid genetic algorithm(GA)approach is integrated with simulated annealing to solve the MOFJSP considering transportation time,and an external elitism memory library is employed as a knowledge library to direct GA search into the region of better performance.Findings–The performance of the proposed algorithm is tested on different MOFJSP taken from literature.Experimental results show that proposed algorithm performs better than the original GA in terms of quality of solution and distribution of the solution,especially when the number of jobs and the flexibility of the machine increase.Originality/value–Most of existing studies have not considered the transportation time during scheduling of jobs.The transportation time is significantly desired to be included in the FJSP when the time of transportation of jobs has significant impact on the completion time of jobs.Meanwhile,GA is one of primary algorithms extensively used to address MOFJSP in literature.However,to solve the MOFJSP,the original GA has a possibility to get a premature convergence and it has a slow convergence speed.To overcome these problems,a new hybrid GA is developed in this paper. | Xiabao Huang Lixi Yang | 2019 | International Journal of Intelligent Computing and Cybernetics2019，12，2： | 0 |
| 6 | Grey clustering evaluation based on AHP and interval grey number显示文摘Purpose–The purpose of this paper is to propose a grey clustering evaluation model based on analytic hierarchy process(AHP)and interval grey number(IGN)to solve the clustering evaluation problem with IGNs.Design/methodology/approach–First,the centre-point triangular whitenisation weight function with real numbers is built,and then by using interval mean function,the whitenisation weight function is extended to IGNs.The weights of evaluation indexes are determined by AHP.Finally,this model is used to evaluate the flight safety of a Chinese airline.The results indicate that the model is effective and reasonable.Findings–When IGN meets certain conditions,the centre-point triangular whitenisation weight function based on IGN is not multiple-cross and it is normative.It provides a certain standard and basis for obtaining the effective evaluation indexes and determining the scientific evaluation of the grey class.Originality/value–The traditional grey clustering model is extended to the field of IGN.It can make full use of all the information of the IGN,so the result of the evaluation is more objective and reasonable,which provides supports for solving practical problems. | Kejia Chen Ping Chen Lixi Yang Lian Jin | 2019 | International Journal of Intelligent Computing and Cybernetics2019，12，1： | 0 |
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