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Understanding the ecological security situation of Fuzhou City holds significant theoretical and practical value for the government departments in implementing development strategies and achieving Sustainable Development Goal 11 (Sustainable Cities and Communities). Using the Data, Information, Knowledge, and Wisdom (DIKW) framework, this study combined various remote sensing and GIS methods to comprehensively analyze Fuzhou's past, present, and future ecological security levels. The results showed a strong isotropic cluster in the city's ecological security. Among the influencing factors, the degree of regional development was found to have the greatest impact, while water body coverage had the least. The influencing factors are mutually reinforcing. Under the natural development scenario, the area of secure level in 2020 decreased by 1243.70 km2, while under the ecological protection scenario, it declined by 1263.34 km2. In the future, Fuzhou's ecological security level is expected to face increasing fragmentation. Based on these findings, the study proposes strategies to balance economic development and ecological protection in Fuzhou City. These recommendations aim to provide the government departments with relevant data support for land resource management and contribute to the high-level development of the City. [ABSTRACT FROM AUTHOR]

Abstract: The infinite dilution diffusion coefficients (D12) of methanol, ethanol, 1-propanol, 1-butanol and 1-pentanol in supercritical CO2 (scCO2) at 313.2 K and 10-16 MPa were simulated by molecular dynamics (MD) simulation. The microscopic structure was also analyzed by calculation of the radial distribution function, coordination number (CN) between the center mass of solute and solvent molecules, and the average number of hydrogen bonding of this system. In infinite dilute solution, the probability of forming hydrogen bond between alkanol molecules is greatly reduced relative to pure alkanol fluid, and the weak hydrogen bonds formed between alkanol and CO2 molecules. In general, this work provides a reliable simulation method for transfer properties of solutes in scCO2. The prediction data were provides for the design and development of chemical processing. The results are helpful for one to deeper understand the relationship between microscopic structures of fluid and its transfer properties. [ABSTRACT FROM AUTHOR]

Background: Myocardial infarction (MI) is the single most critical event in coronary disease. Platelets are involved in the processes of acute MI (AMI). They lack nuclear DNA but retain megakaryocyte mRNAs, hence, their transcriptome could provide information preceding coronary events. However, their mechanisms are not clear. In this study, we obtained a gene expression atlas of platelets from patients after their very first AMI, and our purpose was to clarify the mechanisms of platelet involvement in the occurrence of AMI through bioinformatics analyses and animal models of AMI in vivo ., Methods: We obtained a gene expression atlas of platelets from patients after their very first AMI from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were retrieved using R language. Weighted gene co-expression network analysis (WGCNA) was implemented in order to construct a gene co-expression correlation network among DEGs. Animal models of AMI in vivo were constructed to confirm the results of the bioinformatics analysis., Results: Gene integration analysis yielded 2,852 DEGs (P<0.05, |log2FC| >1). Bioinformatics analysis demonstrated a significant association between C-reactive protein ( CRP ) and Staphylococcus aureus infection (SAI) (P=0.015). Data from in vivo experiments showed that CRP increased significantly in AMI rats (P<0.001), and the expression of FCGR2B mRNA and HLA-DRB4 mRNA was elevated in response to the increase of CRP (P<0.001)., Conclusions: From the results of this study, we speculate that in the development of AMI, the increase in CRP activates platelets and induces platelets to play an anti-inflammatory role., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/atm-21-2733). The authors have no conflicts of interest to declare., (2021 Annals of Translational Medicine. All rights reserved.)