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      Forecasting plastic waste generation and interventions for environmental hazard mitigation

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          User's guide to correlation coefficients

          When writing a manuscript, we often use words such as perfect, strong, good or weak to name the strength of the relationship between variables. However, it is unclear where a good relationship turns into a strong one. The same strength of r is named differently by several researchers. Therefore, there is an absolute necessity to explicitly report the strength and direction of r while reporting correlation coefficients in manuscripts. This article aims to familiarize medical readers with several different correlation coefficients reported in medical manuscripts, clarify confounding aspects and summarize the naming practices for the strength of correlation coefficients.
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            "Why Should I Trust You?"

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              Predicted growth in plastic waste exceeds efforts to mitigate plastic pollution

              Plastic pollution is a planetary threat, affecting nearly every marine and freshwater ecosystem globally. In response, multilevel mitigation strategies are being adopted but with a lack of quantitative assessment of how such strategies reduce plastic emissions. We assessed the impact of three broad management strategies, plastic waste reduction, waste management, and environmental recovery, at different levels of effort to estimate plastic emissions to 2030 for 173 countries. We estimate that 19 to 23 million metric tons, or 11%, of plastic waste generated globally in 2016 entered aquatic ecosystems. Considering the ambitious commitments currently set by governments, annual emissions may reach up to 53 million metric tons per year by 2030. To reduce emissions to a level well below this prediction, extraordinary efforts to transform the global plastics economy are needed.
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                Author and article information

                Journal
                Journal of Hazardous Materials
                Journal of Hazardous Materials
                Elsevier BV
                03043894
                February 2022
                February 2022
                : 424
                : 127330
                Article
                10.1016/j.jhazmat.2021.127330
                34600379
                204acb85-894a-4150-99d3-246117fbda25
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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