Search Results (3)

Students often experience high levels of daily academic pressure, spending extended periods within indoor classroom environments. Windows, as a medium of proximity to nature, play an important role in relieving stress. However, the broader implications of the Window Green View Index (WGVI) on individual well-being remain underexplored. This study aims to assess the effects of WGVI on stress recovery in college students by utilizing virtual reality technology to create five classroom environments with varying WGVI levels: 0%, 25%, 50%, 75%, and 100%. Twenty-four participants were subjected to the Trier Social Stress Test before engaging with the different WGVI scenarios for stress recovery. Both subjective assessments and objective physiological indicators were evaluated. Results indicated that participants exhibited the lowest Profile of Mood States (POMS) score (−4.50) and significantly improved systolic blood pressure recovery at a 25% WGVI level. The examination of EEG data revealed that the O2 channel in the occipital region exhibited the highest level of activity in the alpha frequency range during the experiment. Additionally, a significant association was observed between the EEG measurements and the subjective rating of stress. This study underscores the significance of incorporating WGVI into the design and planning of college buildings to promote mental health and well-being among students. Full article

Annual outbreaks of floating Ulva prolifera blooms in the Yellow Sea have caused serious local environmental and economic problems. Rapid and effective monitoring of Ulva blooms from satellite observations with wide spatial-temporal coverage can greatly enhance disaster response efforts. Various satellite sensors and remote sensing methods have been employed for Ulva detection, yet automatic and rapid Ulva detection remains challenging mainly due to complex observation scenarios present in different satellite images, and even within a single satellite image. Here, a reliable and fully automatic method was proposed for the rapid extraction of Ulva features using the Tasseled-Cap Greenness (TCG) index from satellite top-of-atmosphere reflectance (R_TOA) data. Based on the TCG characteristics of Ulva and Ulva-free targets, a local adaptive threshold (LAT) approach was utilized to automatically select a TCG threshold for moving pixel windows. When tested on HY1C/D-Coastal Zone Imager (CZI) images, the proposed method, termed the TCG-LAT method, achieved over 95% Ulva detection accuracy though cross-comparison with the TCG and VBFAH indexes with a visually determined threshold. It exhibited robust performance even against complex water backgrounds and under non-optimal observing conditions with sun glint and cloud cover. The TCG-LAT method was further applied to multiple HY1C/D-CZI images for automatic Ulva bloom monitoring in the Yellow Sea in 2023. Moreover, promising results were obtained by applying the TCG-LAT method to multiple optical satellite sensors, including GF-Wide Field View Camera (GF-WFV), HJ-Charge Coupled Device (HJ-CCD), Sentinel2B-Multispectral Imager (S2B-MSI), and the Geostationary Ocean Color Imager (GOCI-II). The TCG-LAT method is poised for integration into operational systems for disaster monitoring to enable the rapid monitoring of Ulva blooms in nearshore waters, facilitated by the availability of near-real-time satellite images. Full article

Escalating geopolitical factors are closely related to climate warming, but researchers have not fully considered this. Therefore, the purpose of this study is to explore the interaction between geopolitical risk (GPR) and carbon dioxide (CO₂) in China. This paper uses the recently developed GPR index and a bootstrap Granger rolling-window estimation. Empirical results spanning different subsamples reveal a two-way causal relationship between GPR and CO₂. GPR transforms energy consumption and economic activities through trade disputes, military deployments and energy issues, which have a complex impact on CO₂ emissions. Oppositely, CO₂ emissions affect GPR through changes in international cooperation and shaping of geopolitical systems. In view of these empirical results, we put forward several policy recommendations. The Chinese government can effectively consider GPR to control CO₂ emissions by increasing green investment and signing environmental contracts. Enterprises must focus on research and development (R&D) and investment in new energy innovations. In addition, international organizations can be a useful tool for monitoring decarbonization policies and resolving conflicts between countries. Full article