PREDICTING OF ELDERLY POPULATION STRUCTURE AND DENSITY BY A NOVEL GREY FRACTIONAL-ORDER MODEL WITH THETA RESIDUAL OPTIMIZATION: A CASE STUDY OF SHANGHAI CITY, CHINA

Predicting of elderly population structure and density by a novel grey fractional-order model with theta residual optimization: a case study of Shanghai City, China

Abstract Background Accurately predicting the future development trend of population aging is conducive to accelerating the development of the elderly care industry.This study constructed a combined optimization grey prediction model to predict the structure and density of elderly population.Methods In this paper, a GT-FGM model is proposed, which

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Resilience assessment of mobile emergency generator-assisted distribution networks: A stochastic geometry approach

Escalation of extreme weather events represents substantial threat to power system infrastructure.Mobile emergency generators (MEGs) can form part of a flexible restoration strategy against such destructive events.However, with continued expansion of distribution networks, quantification of the impact of MEGs has become increasingly challenging owi

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BASIC WORD-FORMING MODELS OF ABSTRACT NAMES IN THE EVEN LANGUAGE

Purpose.The article is devoted to the analysis Lacquer Paint of the basic word-formation models of abstract names in the Even language.The author aims to identify the structural and derivational features of abstract names in the Even language.Method or methodology of the work.The main research method is the descriptive one; the word-formation analy

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