Background: To investigate therapeutic effects of hydrogen-rich saline (HRS) combined with hyperbaric oxygen (HBO2) in an experimental rat model of acute lung injury (ALI). Methods: 40 Male Sprague-Dawley rats were randomly divided into sham, LPS, LPS + HBO2, LPS + HRS and LPS + HBO2 + HRS groups. ALI was induced by an intratracheal injection of LPS, then the rats were respectively given single agent treatment of HBO2 or HRS or HBO2 + HRS treatment. The treatments were continued for three days in an experimental rat model of ALI. At the end of the experiment, the lung pathological, inflammatory factors, and cell apoptosis in the pulmonary tissue were detected by Tunel method and cell apoptosis rate was calculated accordingly. Results: In the groups treated with HBO2 + HRS, pulmonary pathological data, wet-dry weight ratio and inflammatory factors of pulmonary tissues and aveolar lavage fluid were signficantly superiror to those of the sham group (p<0.05). Cell apoptosis detection revealed that no matter single agent treatment of HRS or HBO2, or combination treatment, could all alleviate cell apoptosis, and HRS combined with HBO2 treatment was obviously superior to single treatment (p<0.05). Conclusions: HRS or HBO2 single treatment could decrease inflammatory cytokines release in lung tissue, reduce accumulation of oxidative products and alleviate apoptosis of pulmoanry cells, then lead to positive therapeutic effects on ALI induced by LPS. Furthermore, HBO2 combined with HRS treatment presented a synergy effect on cell apoptosis decrease, and a declined trend in inflammatory cytokines release and related inflammatory products generation, compared with single treatment.
In this paper,we consider the following semiparametric regression model for longitudinal data: y_(ij)=x′_(ij)β+g(t_(ij))+e_(ij).The estimators ofβand g(·)are obtained by using the least squares and usual nonparametric weight function method,the asymptotic normality of the estimator ofβand the optimal convergence rate of the estimator of g(·)are proved under the suitable conditions. Some simulations are conducted to demonstrate the finite sample performances of the estimation procedures.
This study examines the impact of China's new environmental law (NEL, referring to the new Environmental Protection Law implemented in China in 2015, hereafter NEL) on the financial performance (FP) of Chinese A-share companies listed in the heavy pollution industry from 2011 to 2020.Using the DID approach, the study finds that the regulation initially has a negative impact but brings long-term positive results for these companies.It also highlights the impact of the regulation on financing opportunities and R&D investment, with smaller companies facing more significant challenges.Lastly, based on the study's findings, some policy suggestions are proposed to offer theoretical guidance and policy references for countries to achieve high-quality development.
<p>In the context of China's critical economic transition towards sustainability, this research employs a tripartite evolutionary game model involving government, enterprises, and environmental protection social organizations to investigate the evolutionary trajectory of enterprises' green production behaviors. By elucidating the equilibrium solution of the model and validating its local stability, the study aims to identify the key factors that contribute to steering the game towards a favorable state. The findings reveal that enterprises' decisions to adopt green production practices are primarily driven by cost-benefit considerations. Meanwhile, government interventions in regulating green production are influenced by factors such as resource input, punitive measures for non-compliance, and reward incentives. Additionally, the decisions of environmental protection social organizations to monitor enterprises' green production are shaped by factors like cost, financial support, and subsidy incentives. Ultimately, the study provides policy recommendations, emphasizing stakeholder perspectives, to encourage corporate green production. These insights not only aim to foster sustainable development among enterprises but also serve as a theoretical foundation for government policy formulation.</p>
<p>Leveraging the implementation of China's environmental protection tax (EPT) policy in 2018 as a focal point, this study employs a quasi-natural experiment via the double-difference method to investigate the EPT's impact on the financial performance (FP) of publicly listed companies in heavily polluting industries. The findings reveal the EPT's sustained and positive dynamic effect on the FP of these enterprises, a trend validated through parallel trend and placebo tests. Furthermore, the research highlights that non-state-owned and large-scale firms exhibit more substantial incentives for enhancing their FP.</p>
Based on cloud platform technology, combining streaming media technology and web application development, an interactive teaching platform for vocal music theory and performance practice is constructed, which effectively improves the current vocal music classroom teaching.Problems such as single teaching content, realize the network and information transformation of vocal music education teaching mode in colleges and universities.With the application advantages of cloud platform technology and streaming media technology, the system guides students to get out of the misunderstanding of focusing on practice and ignoring theory with functions such as online live broadcast, independent learning, extracurricular development, and personal presentation.The system establishes a student-centered educational concept, and strengthens teachers information interaction between students and between students, emphasis on teamwork, respect for practical innovation, fundamentally stimulate students' subjective initiative in learning.Under the blessing of high technology, college music education can radiate new vitality, thereby further contributing to the promotion of college education informatization reform.
Abstract. Non-methane hydrocarbons (NMHCs) in the marine atmosphere have been extensively studied due to their important roles in regulating the atmospheric chemistry and climate. However, very little is known about the distribution and sources of NMHCs in the lower atmosphere over the marginal seas of China. Herein, we characterized the atmospheric NMHCs (C2-C5) in both the coastal cities and marginal seas of China in spring 2021, with a focus on identifying the sources of NMHCs in the coastal atmosphere. The NMHCs in urban atmospheres, especially for alkanes, were significantly higher compared to that in marine atmosphere, suggesting that terrestrial NMHCs may serve as an important reservoir/source of the marine atmosphere. A significant correlation was observed between the alkane concentrations and the distances from sampling sites to the nearest land or retention of air mass over land, indicating that alkanes in the marine atmosphere are largely influenced by terrestrial inputs through air-mass transport. For alkenes, a greater impact from oceanic emissions was determined due to the lower terrestrial concentrations, short atmospheric lifetime, and substantial sea-to-air fluxes of alkenes compared to alkanes (489 ± 454 vs 129 ± 106 nmol m-2 d-1). As suggested by the positive matrix factorization, terrestrial inputs contributed to 89 % of alkanes and 69.6 % of alkenes in Chinese marginal seas, subsequently contributing to 84 % of the ozone formation potential associated with C2-C5 NMHCs. These findings underscore the significance of terrestrial outflow in controlling the distribution and composition of atmospheric NMHCs in the marginal seas of China.
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