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Green spaces have a positive impact on the mood of urban residents. However, previous studies have focused primarily on parks or residential areas, neglecting the influence of green spaces in different socioeconomic locations on public sentiment. This oversight fails to acknowledge that most young individuals are exposed to places beyond their homes and parks throughout the day. Using web crawlers, we collected 105,214 Sina Weibo posts from 14,651 geographical check-in points in Hangzhou, Zhejiang Province. We developed a mixed ordered logistic regression model to quantify the relationship between public sentiment (negative/neutral/positive) and the surrounding green space. The findings are as follows: (1) the correlation between GVI and public sentiment is stronger than that between public sentiment and NDVI; (2) among different socioeconomic regions, residential areas are associated with lower levels of public sentiment, while parks are associated with higher levels; and (3) at a scale of 1000 m, an increase of 1% in GVI significantly improves public sentiment regarding transportation hubs, with a regression coefficient of 0.0333. The relationship between green space and public sentiment is intricate and nuanced, and it is influenced by both public activities and spatiotemporal contexts. Urban green space planners should consider additional factors to enhance the effectiveness of green space in improving public sentiment. [ABSTRACT FROM AUTHOR]

In order to study the influence of the two-stage extrusion process on the quality of instant rice noodle, the key parameters of the two-stage extrusion process including: the first and second stage extruder barrel temperature, the first and second stage extruder screw speed, feeding speed, and the template hole diameter were taken as the single factor research objects, and the single factor experiment and response surface experiment were used to optimize them. The results show that the optimization of extrusion parameters can improve the quality of instant rice noodle in a certain range. The final optimization of the two-stage extrusion process parameters are as follows: the first stage extruder barrel temperature was 173 ℃,the second stage extruder barrel temperature was 39 ℃, the first stage extruder screw speed was 30 Hz, the second stage extruder screw speed was 20 Hz, the feeding speed was 11.8hz, and the template aperture was 0.7 mm. Under this condition, the instant rice noodle product is made with Strong fragrance and good comprehensive quality which can reach market product quality. This study can provide a reference for the continuous production of instant rice noodle.

Self-assembly has a unique presence when it comes to creating complicated, ordered supramolecular architectures from simple components under mild conditions. Here, we describe a self-assembly strategy for the generation of the first homogeneous supramolecular metal-organic framework (SMOF-1) in water at room temperature from a hexaarmed [Ru(bpy)3](2+)-based precursor and cucurbit[8]uril (CB[8]). The solution-phase periodicity of this cubic transition metal-cored supramolecular organic framework (MSOF) is confirmed by small-angle X-ray scattering and diffraction experiments, which, as supported by TEM imaging, is commensurate with the periodicity in the solid state. We further demonstrate that SMOF-1 adsorbs anionic Wells-Dawson-type polyoxometalates (WD-POMs) in a one-cage-one-guest manner to give WD-POM@SMOF-1 hybrid assemblies. Upon visible-light (500 nm) irradiation, such hybrids enable fast multi-electron injection from photosensitive [Ru(bpy)3](2+) units to redox-active WD-POM units, leading to efficient hydrogen production in aqueous media and in organic media. The demonstrated strategy opens the door for the development of new classes of liquid-phase and solid-phase ordered porous materials.