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Green growth is of great importance in terms of solving environmental problems and achieving sustainable development goals. However, the existing literature has not investigated how green growth affects environmental degradation and environmental sustainability variables. In light of this gap, this study aims to analyse the impact of green growth and institutional quality on CO2 emissions, ecological footprint and inverse load capacity factor in OECD countries by constructing three different models. The results of the analysis indicate that (i) green growth exerts a significant mitigating and differentiating effect on CO2, ecological footprint and inverted load capacity factor in the long run. This is evidenced by a 1% increase in green growth reducing CO2, ecological footprint and inverted load capacity factor by 0.563%, 0.373% and 0.198%, respectively. (i) The impact of green growth on CO2 and inverted load capacity factor in the long run is negative and statistically significant; (ii) the impact of green growth on CO2 and inverted load capacity factor in the short run is negative and statistically significant; (iii) the impact of institutional quality on deterioration is positive and significant in the long run; (iv) the impact of population on deterioration and sustainability is significant and mixed. The findings indicate that decision-makers in OECD countries should review green energy policies when setting the sustainable development goals, as environmental sustainability is more challenging than reducing pollution.
Assuntos
Dióxido de Carbono , Dióxido de Carbono/análise , Organização para a Cooperação e Desenvolvimento Econômico , Conservação dos Recursos Naturais , Desenvolvimento Sustentável , Pegada de CarbonoRESUMO
Objectives. This study aims to compare the work stress and obsessive-compulsive symptoms of nurses and office workers and to determine the relationship between work stress and obsessive-compulsive symptoms.Methods. A total of 127 nurses and 127 office workers participated in the cross-sectional study and comparative study. Data were collected using the perceived work stress scale and the Maudsley obsessive-compulsive inventory.Results. Nurses had higher work stress scores (p = 0.003) in general than office workers. In particular, nurses with a low (p < 0.039) and average (p < 0.007) economic status, nurses who had been employed for 1-10 years (p < 0.001) and nurses working 40 h per week (p < 0.042) had higher work stress scores than office workers. There was no difference (p > 0.05) between obsessive-compulsive symptom scores. There was a positive significant relationship (p < 0.001) between work stress and obsessive-compulsive symptom scores of nurses and office workers. Work stress explains 6.1% of the obsessive-compulsive symptoms in nurses and 12.4% in office workers.Conclusion. The results of this study concluded that work stress of nurses is higher than that of office workers and work stress affects the obsessive-compulsive symptoms in both groups.
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The precise assembly of tissues and organs relies on spatiotemporal regulation of gene expression to coordinate the collective behavior of cells. In Drosophila embryos, the midgut musculature is formed through collective migration of caudal visceral mesoderm (CVM) cells, but how gene expression changes as cells migrate is not well understood. Here, we have focused on ten genes expressed in the CVM and the cis-regulatory sequences controlling their expression. Although some genes are continuously expressed, others are expressed only early or late during migration. Late expression relates to cell cycle progression, as driving string/Cdc25 causes earlier division of CVM cells and accelerates the transition to late gene expression. In particular, we found that the cell cycle effector transcription factor E2F1 is a required input for the late gene CG5080. Furthermore, whereas late genes are broadly expressed in all CVM cells, early gene transcripts are polarized to the anterior or posterior ends of the migrating collective. We show this polarization requires transcription factors Snail, Zfh1 and Dorsocross. Collectively, these results identify two sequential gene expression programs bridged by cell division that support long-distance directional migration of CVM cells.