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3. Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach

4. Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production

5. Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes

9. Sugar fermentation: C2 (ethanolic) platform

11. Preface

12. List of contributors

13. Sugar fermentation: C4 platforms

16. The 2024 report of the Lancet Countdown on health and climate change: facing record-breaking threats from delayed action

30. Nanotechnology applications in biodiesel processing and production: A comprehensive review

38. Biomass to biofuels using hydrothermal liquefaction: A comprehensive review

41. The 2023 report of the Lancet Countdown on health and climate change: the imperative for a health-centred response in a world facing irreversible harms

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