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Correlation of the serum uric acid with cardiovascular disease
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Biosorption mechanism of Cr(VI) by live and heat-killed Saccharomyces cerevisiae
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Identification of key chromium resistance genes in Cellulomonas using transcriptomics
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Construction of Prompt Verbalizer Based on Dynamic Search Tree for Text Classification
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Acoustic interaction of submerged thin-shell structures considering seabed reflection effects
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Interactive Multimodal Television Media Adaptive Visual Communication Based on Clustering Algorithm
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Global dynamics of a vector-host epidemic model with age of infection
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Competitive exclusion in an infection-age structured vector-host epidemic model
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Influence of continuous Cu-rich phase on the deformation mechanism in as-cast CoCrFeNiCu high-entropy alloy
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On the Study of Chemostat Model with Pulsed Input in a Polluted Environment
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Extinction and permanence of two-nutrient and one-microorganism chemostat model with pulsed input
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Optimal control and analysis of a stochastic SEIR epidemic model with nonlinear incidence and treatment
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Spatial Difference Analysis of Water Resources Carrying Capacity in Henan Province
Published 2022-01-01“…Taking 18 cities in Henan Province as the research objects,this paper selects 16 indicators from the water resources-society-economy-ecology composite system.Utilizing the entropy weight TOPSIS method,it conducts the spatial difference analysis and comprehensive evaluation of water resources carrying capacity on 18 cities in Henan Province in 2018.The evaluation results show that the water resources carrying capacity of Henan Province in 2018 is weak.From the perspective of spatial difference,the water resources carrying capacity is the strongest in the southern region,followed by the western region,and the northern and eastern regions are the weakest.Cities with descending water resources carrying capacity are as follows: Xinyang, Zhumadian, Nanyang, Zhengzhou, Sanmenxia, Luoyang, Pingdingshan, Shangqiu, Luohe, Jiyuan, Xuchang, Zhoukou, Anyang, Kaifeng,Hebi,Xinxiang,Jiaozuo,Puyang.The water resources subsystem and the economic subsystem have great influences on water resources carrying capacity in different cities.GDP,water production modulus,and precipitation affect the water resources carrying capacity most in 2018.…”
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