上海对外贸易学院

We study a three-dimensional gravity-induced flame front model under a Couette flow. By exploiting the enhanced dissipation induced by the Couette flow, we prove global-in-time well-posedness of the Cauchy problem in R3 and derive decay estimates for the solution and its spatial derivatives in Lp norms for all p > 1. The analysis is based on a Green’s function approach for the associated variable-coefficient linearized operator. Since an explicit representation of the Green’s function is unavailable, we first establish decay estimates in the spectral domain and then transfer them to physical space. These results show that enhanced dissipation induced by the Couette flow is the key mechanism leading to global existence in the whole space, in the large initial data regime.

Let F be a graph with chromatic number χ(F) = r+1. Denote by ex(n, F) and Ex(n, F) the Turán number and the set of all extremal graphs for F, respectively. In addition, ex_ssp(n, F) and Ex_ssp(n, F) are the maximum signless Laplacian spectral radius of all n-vertex F-free graphs and the set of all n-vertex F-free graphs with signless Laplacian spectral radius ex_ssp(n, F), respectively. It is known that Ex_ssp(n, F)⊃ Ex(n, F) if F is a triangle. In this paper, employing the regularity method and Füredi's stability theorem, we prove that for a given graph F and r⩾ 3, if ex(n, F) = t_r(n)+O(1), then Ex_ssp(n, F) ⊆ Ex(n, F) for sufficiently large n, where t_r(n) is the number of edges in the Turán graph T_r(n).

Loss aversion is a crucial aspect of risky decision-making; yet its neural underpinnings remain unclear, particularly regarding the functional relationship between neural activity and behavior. This study employed bihemispheric DLPFC transcranial direct current stimulation (tDCS) and electroencephalogram (EEG) to deeply understand the neural mechanism of loss aversion from three aspects: 1) functional relationship of dorsolateral prefrontal cortex (DLPFC) on loss aversion; 2) comprehensive neural basis of loss aversion; 3) neural evidence of functional effect of DLPFC on loss aversion. Twenty-five healthy subjects underwent three stimulations, i.e., right anodal/left cathodal (right stimulation), left anodal/right cathodal (left stimulation), and sham stimulation targeted bilateral DLPFC on separate days with 7- to 14-day intervals. Participants performed a mixed gamble task poststimulation while EEG was recorded. Behaviorally, right stimulation reduced acceptance rate and increased loss aversion coefficients compared with sham and left stimulation. Moreover, both average and single-trial ERP analysis revealed enhanced feedback-related negativity difference (d-FRN) deflections following right stimulation, whereas no significant error-related negativity (ERN) effect was found. These findings suggested that right DLPFC is a key region driving loss aversion by increasing sensitivity to losses and modulating negative emotional responses.

Pollution transfer across regions has become an important source of environmental health risks and spatial health inequalities, yet its underlying transfer mechanisms and structural pathways remain insufficiently understood. This study investigates the spatiotemporal evolution of pollution transfer in China's Yangtze River Delta (YRD) from both national and local perspectives. Using off-site environmental penalty data from large-scale enterprises between 2012 and 2023, we construct pollution transfer networks and apply social network analysis and the geographical detector method to identify structural characteristics and multidimensional driving mechanisms. This study addresses three interrelated challenges: identifying pollution transfer relationships from regulatory records, disentangling multidimensional proximity mechanisms and their interaction effects, and assessing whether pollution transfer structurally reinforces environmental health inequality across cities, which are tasks that are methodologically demanding due to the hidden nature of transfer processes and the nonlinearity of proximity effects. The results reveal that the pollution transfer network in the YRD has continuously expanded, exhibiting a pronounced core-periphery structure centered on Shanghai, Hangzhou, Nanjing, and other core cities, with strong internal linkages and outward diffusion at the national scale. Pollution transfer intensity has increased over time and displays significant proximity effects. Multidimensional proximity factors jointly shape pollution transfer, with economic proximity dominating intra-regional transfers, while institutional and technological proximity play a more critical role in extra-regional transfers. Notably, public health proximity exhibits limited independent explanatory power but significantly enhances pollution transfer when interacting with economic and institutional factors, suggesting a structural linkage between pollution redistribution and environmental health inequality. Scientifically, this study advances the understanding of pollution transfer as a networked and interaction-driven process. Practically, the findings provide quantitative support for regional collaborative governance and integrated environmental and health management in the YRD.

This study investigates the impact of foreign direct investment (FDI) entry on the low-carbon transition of the global supply chain (GSC) in China. We proxy for the global carbon footprint by estimating the carbon emission intensity embedded in firms’ GSCs. Using a difference in differences approach that exploits adjustments to the FDI Catalogue as a quasi-natural experiment, we find that FDI entry reduces the global carbon footprint of domestic firms. We also observe that foreign firms exhibit lower trade-induced carbon emission intensity than domestic firms do, which supports the pollution halo hypothesis. This study contributes to FDI spillovers by exploring the supply chain sharing mechanism linked to​ the variety, quality, and origin of intermediate imports and the technology spillover channel associated with green innovation and green product development. FDI spillovers also occur through vertical connections between industries. Moreover, although the exit of foreign-owned enterprises weakens the spillover effects of FDI entry, their conversion to domestic ownership strengthens these effects.