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This study extends the STIRPAT model based on Grossman’s health production function and uses Chinese provincial panel data from 2000 to 2017 to examine regional differences in the impacts of public participation in environmental behavior (PPEB), other socioeconomic factors related to haze pollution, and public health level (PHL) in China. We use four econometric techniques and obtain robust results. Overall, results from the system-GMM indicate that an inverted U-shaped relationship, which has not passed its inflection point, exists between PPEB and haze pollution, PPEB and PHL in the different regions, urbanization, and haze pollution except in the eastern region. Both fossil energy consumption and population density promote haze pollution. Income per capita contributes to haze pollution only in the country as a whole and the western region, but improves PHL in the whole of China and the three regions. There is a negative correlation between haze pollution and PHL in each sample. Medical services are substantially conducive to PHL, except in the western region.

Background Serum levels of C-reactive protein (CRP) were measured in patients with deficit schizophrenia (DS) to confirm the association between CRP level and cognitive performance and to determine whether CRP was a new biological indicator with the potential clinical applications in DS patients. Methods Three independent samples [41 DS and 50 non-deficit schizophrenia (NDS) and 30 sex- and age-matched healthy controls (HCs)] were recruited in our study. Serum CRP levels were measured by immunofluorescence. The Positive and Negative Syndrome Scale (PANSS) and alternative forms of the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) were also assessed. And the relationships between serum CRP levels and both PANSS and RBANS scores were finally analyzed. Results The results of serum CRP level were showed significantly different among the three groups and increased from the HCs to NDS patients to DS patients. There were also significant differences in the cognitive subdomain analyses among the three groups. Serum CRP levels were found positively correlated with total and negative PANSS scores, and showed negatively correlated with overall cognitive test scores in the DS samples. Conclusion Serum C-reactive protein levels and their association with cognitive performance were different between deficit schizophrenia and non-deficit schizophrenia samples, and higher serum CRP level was associated with worse cognitive performance in the DS patients. The results indicated that CRP could be a potential biomarker, and DS could be a distinct subset of schizophrenia.

Neoporphyra haitanensis is an economically important red seaweed that inhabits upper intertidal zones. The thallus tolerates extreme fluctuating environmental stresses (e.g., surviving more than 80% water loss during low tides). To elucidate the global molecular responses relevant to this outstanding desiccation tolerance, a quantitative proteomics analysis of N. haitanensis under different desiccation treatments as well as rehydration was performed. According to the clustering of expression patterns and the functional interpretation of the 483 significantly differentially expressed proteins, a three-stage cellular response to desiccation stress and subsequent rehydration was proposed. Stage I: at the beginning of water loss, multiple signal transduction pathways were triggered including lipid signaling, protein phosphorylation cascades, and histone acetylation controlling acetate biosynthesis to further modulate downstream hormone signaling. Protein protection by peptidyl-prolyl isomerase and ROS scavenging systems were also immediately switched on. Stage II: with the aggravation of stress, increases in antioxidant systems, the accumulation of LEA proteins, and the temporary biosynthesis of branched starch were observed. Multiple enzymes involved in redox homeostasis, including peroxiredoxin, thioredoxin, ascorbate peroxidase, superoxide dismutase, glutathione peroxidase, and glutathione reductase, were hypothesized to function in specific cellular compartments. Stage III: when the desiccated thalli had rehydrated for 30 mins, photosynthesis and carbon fixation were recovered, and antioxidant activities and protein structure protection were maintained at a high level. This work increases the understanding of the molecular responses to environmental stresses via a proteomic approach in red seaweeds and paves the way for further functional studies and genetic engineering.

To explore the optimal mechanism of emergency supply chain collaboration when an epidemic crisis occurs, we construct a tripartite evolutionary game model of emergency collaboration among the government, the retailer, and the supplier to explore the interaction of primary strategies and the impact of critical parameters on the evolution and stability of the system. We conduct simulation analysis based on the actual situation of China’s emergency supply chain development. The research results show that in the recognition period of the crisis, the government participates in emergency supervision and the retailer participates in emergency collaboration, but the supplier does not participate in emergency collaboration. However, in the containment period of the crisis, the government increases penalties, provides appropriate emergency subsidies, and improves the efficiency of emergency supervision, which are conducive to promoting the supplier’s participation in emergency collaboration. In the recovery period of the crisis, as the benefits of both the retailer and the supplier participation in emergency collaboration increase, the government will withdraw from emergency supervision gradually. Moreover, the weaker the risk of supply chain enterprises participating in emergency collaboration, the more reasonable the distribution of the collaboration benefits, and the more conducive to the spontaneous emergency collaboration of the retailer and the supplier.

Environmental audit is inevitably linked to climate change, one immediate target of the auditors is likely to be climate control, and the warming of the Earth and the consequent climatic changes affect us all. What is the link between environmental audit and climate change? What ties together some of these themes between environmental audit and climate change? The interaction between climate change and environmental audit has been one of the most challenging. In this paper, a scientometric analysis of 84 academic publications between 2013 and 2021 related to climate change and environmental audit is presented to characterize the knowledge domain by using the CiteSpace visualization software. First, we present the number of publications, the number of citations, research categories, and journals published through Web of Science database. Secondly, we analyze countries, authors, and journals with outstanding contributions through network analysis. Finally, we use keyword analysis and apply three types of knowledge mapping to our research, cluster view, timeline view, and time zone view, revealing the focus and future directions. We identify the most important topic in the field of climate change and environment audit as represented on the basis of existing literature data which include the Carbon Emissions, Social Capital, Energy Audit, Corporate Governance, Diffusion of Innovation Environmental Management System, and Audit Committee. The results show that climate change and environmental audit publications grew slowly, but the research are widely cited by scholars. Published journals are relatively scattered, but the cited journals are the world’s top journals, and most research countries are developed countries. The most productive authors and institutions in this subject area are in UK, Australia, USA, Spain, and Netherlands. There are no leading figures, but the content of their research can be divided into six clusters. Future research content involving city, policy, dynamics, information, biodiversity, conservation and clustering social capital, diffusion of innovation environmental management, and audit committee are the directions for future research. It is worth noting that cities, policies, and adaptability are closely linked to public health.

China is a developing country and with the speeding up of its industrialization, the environmental problems are becoming more serious, environmental pollution is a major environmental health problem in China. In order to have a more effective management and control of the significant growth issues of environment pollution, green supply chain incentives have started, which is kind of market incentive aiming to moderate the adverse effects of environmental pollution. Proper green chain supply selection and evaluation of companies is becoming very essential in sustainable green supply chain management. Generally speaking, decision-makers (DMs) prefer to provide a set of feasible and quantitative information for making performance evaluation, which motivates us to propose a framework using dual hesitant fuzzy linguistic term set (DHFLTS) and hesitant fuzzy linguistic term set (HFLTS) to select green suppliers. In this paper, group satisfaction and the regret theory are adopted for elicitation of preference information. The DHFLTS and HFLTS provide qualitative preferences of the DMs as well as reflect their hesitancy, inconsistency, and vagueness. Further, two new group satisfaction degrees are defined called the group satisfaction of hesitant fuzzy linguistic term set and dual hesitant fuzzy linguistic term set. Some properties of group satisfaction with DHFLST and HFL are also discussed. Unknown attribute weights are obtained to construct a novel Lagrange function optimization model to maximize the group satisfaction degree, which is an extension of general group satisfaction degree. A novel methodological approach based on two group satisfaction degrees framework and regret theory is developed to rank and select green chain suppliers focusing on specific selection objectives. The proposed model and method of this paper allow the DM to execute different fuzzy scenarios by changing importance weights attached to the triple-bottom-line areas. In the final part, the advantage of the proposed group satisfaction degree under DHFL and HFL background over the existing group satisfaction degree using examples have been presented with different computational combinations.

Changes in atmospheric CO2 concentration have played a central role in algal and plant adaptation and evolution. The commercially important red algal genus, Pyropia (Bangiales) appears to have responded to inorganic carbon (Ci) availability by evolving alternating heteromorphic generations that occupy distinct habitats. The leafy gametophyte inhabits the intertidal zone that undergoes frequent emersion, whereas the sporophyte conchocelis bores into mollusk shells. Here, we analyze a high-quality genome assembly of Pyropia yezoensis to elucidate the interplay between Ci availability and life cycle evolution. We find horizontal gene transfers from bacteria and expansion of gene families (e.g. carbonic anhydrase, anti-oxidative related genes), many of which show gametophyte-specific expression or significant up-regulation in gametophyte in response to dehydration. In conchocelis, the release of HCO3- from shell promoted by carbonic anhydrase provides a source of Ci. This hypothesis is supported by the incorporation of 13C isotope by conchocelis when co-cultured with 13C-labeled CaCO3., The nori producing seaweed Pyropia yezoensis has heteromorphic generations that occupy distinct habitats. Here, via genome assembly, transcriptome analysis, and 13 C isotope labeling, the authors show the interplay between inorganic carbon availability and life cycle evolution in the intertidal environment.

A great number of real-world problems can be associated with multi-criteria decision-making. These problems are often characterized by a high degree of uncertainty. Intuitionistic fuzzy sets (IFSs) are a generalized form of an ordinal fuzzy set to deal with this natural uncertainty. In this paper, we propose a hybrid version of the intuitionistic fuzzy ELECTRE based on VIKOR method, which was never considered before. The advantage and strengths of the intuitionistic fuzzy ELECTRE based on VIKOR method as decision aid technique and IFS as an uncertain framework make the proposed method a suitable choice in solving practical problems. Finally, a numerical example for engineering manager choice is given to illustrate the application of proposed method. The paper also gives a special view of point to the research along IFSs: It can be viewed as a kind of factorial scalar theory in factor space, which helps the authors to complete the paper with clear ideas.

In order to explore the issue of multi-party collaborative governance of energy conservation and emission reduction under the perspective of the low-carbon supply chain, the participation of downstream enterprises as an effective source of local government supervision is included in the selection of low-carbon behaviors of suppliers. First, this paper establishes a tripartite evolutionary game model among local governments, suppliers and downstream enterprise groups. By calculating and copying dynamic equations, the asymptotic stability analysis of the three parties of the game is performed and the stability of the Jacobian matrix proposed by Friedman is used to analyze the local stability of the model equilibrium point and the evolutionary stability strategy of the system. Secondly, the evolution results and evolution paths of the model under different strategies are simulated by system dynamics and the influence of different parameters on the main body selection strategy of the tripartite game is analyzed. Finally, the paper puts forward corresponding policy suggestions from the perspectives of local government, suppliers and downstream enterprises in order to provide new ideas for the governance of China’s environmental problems from the perspective of low carbon.

In this study, two induced generalized dual hesitant fuzzy hybrid operators called the induced generalized dual hesitant fuzzy Shapley hybrid weighted averaging (IG-DHFSHWA) operator and the induced generalized dual hesitant fuzzy Shapley hybrid geometric mean (IG-DHFSHGM) operator are defined. These operators not only globally consider the importance of the elements and their ordered positions, but also overall reflect their correlations. Furthermore, when the weight information about attributes and ordered positions is partly known, using similarity measure analysis (SMA) method and the Shapley function models for the optimal fuzzy measures on an attribute set and on an ordered set are respectively established. Then, an approach to multi-attributes decision making with incomplete weight information and interactive conditions under dual-hesitant fuzzy environment is developed. Finally, a practical example for green supplier evaluation problem with dual hesitant fuzzy information is employed to verify the developed approach and to demonstrate its practically and effectiveness.

The selection of appropriate green chain suppliers is a very critical decision for effective and efficient green supply chain management in today&rsquo, s increased awareness and significant environmental pressures from various stakeholders. The aim of this paper is to screen appropriate green chain suppliers based on a framework using fuzzy TOPSIS and ELECTRE for a Chinese internet company. The framework is proposed, grounded on a literature review on green supply chain management practices, after which an empirical analysis is made to be applied an integrated suppliers selection, based on green practices incorporating specifically data collected of the 12 criteria from a set of 12 available suppliers. We use a fuzzy TOPSIS and ELECTRE approach to rank the green chain suppliers, and the results of the proposed framework are compared with the ranks obtained by both the outranking degrees and the incomparability among the actions of fuzzy ELECTRE methodology. Finally, sensitivity analysis was conducted to test the feasibility of the best alternative. The results indicated that the best supplier was alternative 9, and there were four dominant criteria: management support for GSCM, used environmentally friendly materials, followed legal environmental requirements and policies, and reduced the use of harmful substances.

The decrease and increase in temperature between neighboring days will have obvious influence on air quality and public health. Based on generalized additive model, this paper aims to examine the seasonal effects of temperature fluctuations on air quality index (AQI) and respiratory disease (RD) during 2008–2012 in Beijing. The results show that the impact of decrease and increase in temperature on AQI and RD varies in different seasons. A large decrease in temperature results in the increase in AQI and RD only in the cold season. At the same time, compared with cold season, larger increased effects of small increase in temperature are observed on AQI and RD in warm season. For a large increase in temperature, a larger impact on AQI is observed in the warm season compared with cold season, while a larger impact on RD is observed in the cold season contrarily. Furthermore, extremely large decrease in temperature (>7 °C) results in the similar impact on AQI in the warm and cold season. Extremely large increase in temperature (>7 °C) has the similar influence on AQI and RD for both warm and cold season. Compared with small and large increase in temperature, extremely large increase in temperature (>7 °C) results in the largest influence on AQI and RD. Our results suggest that the air quality and public health in Beijing are significantly influenced by decrease and increase in temperature in different seasons.