Attractor of the nonclassical diffusion equation with memory on time- dependent space by Jing Wang, Qiaozhen Ma, Wenxue Zhou

“…We consider the dynamic behavior of solutions for a nonclassical diffusion equation with memory $ u_{t}-\varepsilon(t) \triangle u_{t}- \triangle u-\int_{0}^{\infty}\kappa(s)\triangle u(t-s)ds+f(u) = g(x) $ on time-dependent space for which the norm of the space depends on the time $ t $ explicitly, and the nonlinear term satisfies the critical growth condition. First, based on the classical Faedo-Galerkin method, we obtain the well-posedness of the solution for the equation. …”
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Classification and influencing factors of rural elderly's vulnerability to health-related poverty in central and western regions of China by Qin Xiang, Chaoyang Yan, Ying Ma, Hui Liao, Jing Wang

“…Objective: To calculate the health poverty vulnerability index of elderly households in rural areas of central and western China, and then to classify these samples, lastly to decompose their influencing factors. Methods: First, based on survey data in 2018, the three-stage feasible generalized least squares was used to calculate the health poverty vulnerability index of elderly households, and then combined with whether the household income was below the poverty line and whether the family was healthy poverty vulnerability, the sample households were divided into four categories, and then used multiple unordered logistic regression to analyze various types of influencing factors, and finally used the Shapley index to decompose the contribution of each influencing factor. …”
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Risk Assessment of Maize Yield Losses in Gansu Province Based on Spatial Econometric Analysis by Feng Fang, Jing Wang, Jingjing Lin, Yuxia Xu, Guoyang Lu, Xin Wang, Pengcheng Huang, Yuhan Huang, Fei Yin

“…For this reason, we evaluated the risk of corn production in Gansu Province. First, based on maize yield data, a risk evaluation index system was constructed using the characteristics of variation trends, fluctuations, and extreme values of disaster losses. …”
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