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Elderly-Oriented Service Industry: Strategy for Tackling Population Aging
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《China Population Today》 2001年第Z2期18-24,共7页
关键词 RATE Elderly-Oriented Service Industry strategy for Tackling population Aging
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Situation of Population Aging in China and the Strategy
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作者 He Changmei 《China Population Today》 1996年第4期17-17,共1页
SituationofPopulationAginginChinaandtheStrategy¥HeChangmeiChina'spopulationisagingatanunprecedentedspeedwhic... SituationofPopulationAginginChinaandtheStrategy¥HeChangmeiChina'spopulationisagingatanunprecedentedspeedwhichhasneverbeenexpe... 展开更多
关键词 Situation of population Aging in China and the strategy
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The senior sports situation under the trend of aging process and the strategy of it
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作者 Xing Xiaohu Lin Jing 《International Journal of Technology Management》 2014年第3期30-33,共4页
abstract: According to the new situation and problems in the aging process, we will try to analyze the current situation and features of the aging process from the point of sociology by investigation and document lit... abstract: According to the new situation and problems in the aging process, we will try to analyze the current situation and features of the aging process from the point of sociology by investigation and document literature. By analyzing the severe aging problems, we will know about the leisure sporting activities of the old people. Sports is a very useful way to slow down the pace of getting old. Through the efforts of the whole society, we can take full advantage of sports to slow down the aging process and make the senior sports a healthy and scientific development direction. Keywords: population aging Sports Strategy 展开更多
关键词 population aging Sports strategy
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Global Asymptotic Stability in a Delay Differential Equation Model for Mosquito Population Suppression
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作者 Mu-gen HUANG Jian-she YU 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2022年第4期882-901,共20页
A bio-safe dengue control strategy is to use Wolbachia,which can induce incomplete cytoplasmic incompatibility(CI)and reduce the mating competitiveness of infected males.In this work,we formulate a delay differential ... A bio-safe dengue control strategy is to use Wolbachia,which can induce incomplete cytoplasmic incompatibility(CI)and reduce the mating competitiveness of infected males.In this work,we formulate a delay differential equation model,including both the larval and adult stages of wild mosquitoes,to assess the impacts of CI intensityξand mating competitivenessθof infected males on the suppression efficiency.Our analysis identifies a CI intensity thresholdξ*below which a successful suppression is impossible.Whenξ≥ξ*,the wild population will be eliminated ultimately if the releasing level exceeds the release amount threshold R*uniformly.The dependence of R*onξandθ,and the impact of temperature on suppression are further exhibited through numerical examples.Our analyses indicate that a slight reduction ofξis more devastating than significantly decrease ofθin the suppression efficiency.To suppress more than 95%wild mosquitoes during the peak season of dengue in Guangzhou,the optimal starting date for releasing is sensitive toξbut almost independent ofθ.One percent reduction ofξfrom 1 requires at least one week earlier in the optimal releasing starting date from 7 weeks ahead of the peak season of dengue. 展开更多
关键词 dengue fever WOLBACHIA cytoplasmic incompatibility population suppression strategy delay differential equation
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DIP-MOEA:a double-grid interactive preference based multi-ob jective evolutionary algorithm for formalizing preferences of decision makers
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作者 Luda ZHAO Bin WANG +2 位作者 Xiaoping JIANG Yicheng LU Yihua HU 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2022年第11期1714-1732,共19页
The final solution set given by almost all existing preference-based multi-objective evolutionary algorithms(MOEAs)lies a certain distance away from the decision makers’preference information region.Therefore,we prop... The final solution set given by almost all existing preference-based multi-objective evolutionary algorithms(MOEAs)lies a certain distance away from the decision makers’preference information region.Therefore,we propose a multi-ob jective optimization algorithm,referred to as the double-grid interactive preference based MOEA(DIPMOEA),which explicitly takes the preferences of decision makers(DMs)into account.First,according to the optimization ob jective of the practical multi-ob jective optimization problems and the preferences of DMs,the membership functions are mapped to generate a decision preference grid and a preference error grid.Then,we put forward two dominant modes of population,preference degree dominance and preference error dominance,and use this advantageous scheme to update the population in these two grids.Finally,the populations in these two grids are combined with the DMs’preference interaction information,and the preference multi-ob jective optimization interaction is performed.To verify the performance of DIP-MOEA,we test it on two kinds of problems,i.e.,the basic DTLZ series functions and the multi-ob jective knapsack problems,and compare it with several different popular preference-based MOEAs.Experimental results show that DIP-MOEA expresses the preference information of DMs well and provides a solution set that meets the preferences of DMs,quickly provides the test results,and has better performance in the distribution of the Pareto front solution set. 展开更多
关键词 Multi-objective evolutionary algorithm(MOEA) Formalizing preference of decision makers population renewal strategy Preference interaction
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