Building on our previous work in [1], this paper establishes the local well-posedness of the Schrödinger–KdV system in H−3/16×H−3/4 for the resonant case. Combining this result with those in [1], we obtain local well-posedness for the parameter range max{−3/4,s1−3}≤s2≤min{4s1,s1+2}, and this range is sharp in the sense of the contraction mapping argument.
Green consumption constitutes a critical pathway to mitigating environmental threats and advancing carbon emission reduction. However, entrenched consumption habits and behavioral inertia often lead consumers to default to conventional products, creating a pronounced attitude-behavior gap in which pro-environmental attitudes fail to translate into actual purchases. To address this issue and uncover the dynamic mechanisms underlying consumer decision-making, this study draws on the Reflective-Impulsive Model (RIM) to develop a process model explaining how environmental concern (EC) influences green product purchasing (GPP). We introduce cognitive load (CL) as a moderator and examine the interventional effect of a default option (DO) as a nudging strategy. Using a 3 × 2 × 2 between-subjects experiment, the findings demonstrate that EC significantly promotes GPP. Reflective processing (RP) and impulsive processing (IP) jointly mediate the relationship between EC and GPP through dual pathways. CL weakens both the direct effect of EC and the mediating effect of RP. Moreover, DO effectively reduces consumers’ CL, thereby facilitating green consumption behavior. These findings offer actionable insights for online platforms and green enterprises seeking to promote sustainable consumption through nudging-based design strategies.
Photovoltaics is an ideal power source for distributed electronics such as Internet-of-Things (IoT) nodes and wearable devices. However, these systems typically operate under spectrally distinct indoor lighting and low photon flux, where incomplete trap filling renders even defect-tolerant perovskites susceptible to trap-assisted recombination, leading to pronounced open-circuit voltage ( Voc ) losses. To address the compromised phase purity and elevated trap density commonly observed in wide-bandgap perovskites tailored for indoor lighting, we employ an ionic-liquid-based additive engineering strategy that suppresses residual lead iodide and passivates defects at grain boundaries and buried interfaces. As a result, the optimized indoor perovskite photovoltaics deliver an improved power conversion efficiency from 38.62% to 41.41% together with a high Voc of 1.08 V. These findings establish a practical route for defect modulation in wide-bandgap perovskites and further advance indoor photovoltaic technology toward sustainable powering of IoT devices. (c) 2026 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.
The Yellow River Delta, as a typical land-sea interaction zone, is crucial for understanding regional environmental evolution and predicting biological feedbacks of estuarine wetlands via reconstructing past vegetation history. In this study, we reconstructed the Holocene vegetation succession of the Yellow River Delta based on the pollen records from the Kenli (KL) core. Five successive vegetation evolutionary stages were identified in accordance with palynological variations. The early Holocene (9.28–8.15 cal ka BP) featured regional woodlands under cold, arid conditions. From 8.15 to 7.37 cal ka BP, hygrophytic wetlands expanded with a warming, humid climate. During the Middle Holocene (7.37–3.19 cal ka BP) saw dense forests peak under climatic optimum. The late Holocene (3.19–0.82 cal ka BP) witnessed forest degradation and the transition to open woodlands in response to cooling and aridification. Since 0.82 cal ka BP, coniferous forests and steppes have coexisted under persistent cooling and drying. Principal component analysis (PCA) reveals a moisture-related ecological gradient as the primary dimension of pollen assemblage variation. Redundancy analysis (RDA) further indicates that regional temperature and precipitation, broadly consistent with East Asian Summer Monsoon (EASM) evolution, explain a significant portion of the pollen variance. These results suggest a close association between monsoon-modulated hydroclimate and long-term vegetation changes. Superimposed on this climatic framework, coastline migration and frequent Yellow River channel avulsions sequentially shifted local habitats from shallow-water wetlands to salt marshes and tidal mudflats, eventually evolving into terrestrial alluvial plains. Additionally, the mid-Holocene sea-level highstand may have partially influenced coastal moisture conditions through groundwater recharge and wetland expansion, though this interpretation remains tentative. These findings advance the understanding of wetland ecological responses to compound climatic and geomorphic disturbances in monsoon-affected coastal delta regions.
