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- [22] Comments on “A Pesticide Decision Support Tool to guide the selection of less environmentally harmful pesticides for the sugar cane industry” by Warne, M. St. John et al., DOI (https://doi.org/10.1007/s11356-023–29814-w) Environmental Science and Pollution Research, 2024, 31 : 24677 - 24678
- [23] Comments on “Research trends and frontiers on source appointment of soil heavy metal: A scientometric review (2000–2020)” by Wang, Jingyun et al., DOI (https:// doi.org/10.1007/s11356-021–16151-z) Environmental Science and Pollution Research, 2023, 30 : 57205 - 57206
- [25] Comments on “An integrated methodology for green human resource management in construction industry” by Corresponding Author Babaee Tirkolaee, Erfan et al., (https://doi.org/10.1007/s11356-022–20967-8) Environmental Science and Pollution Research, 2023, 30 : 74452 - 74452
- [26] Comment on: “Family and species as determinants modulating mineral composition of selected wild-growing mushroom species” by Mleczek et al., https://doi.org/10.1007/s11356-020-10508-6 Environmental Science and Pollution Research, 2022, 29 : 89796 - 89800
- [27] Comments on "Evaluation of some toxic metals in breast milk samples with dietary and sociodemographic characteristics: a case study of Kermanshah, Western Iran" by Mansouri, Borhan et al., (https://doi.org/10.1007/s11356-022-22495-x) ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (16) : 24673 - 24674
- [28] Comments on “Evaluation of some toxic metals in breast milk samples with dietary and sociodemographic characteristics: a case study of Kermanshah, Western Iran” by Mansouri, Borhan et al., (https://doi.org/10.1007/s11356-022-22495-x) Environmental Science and Pollution Research, 2024, 31 : 24673 - 24674
- [30] Comments on “Splitting tensile strength prediction of sustainable high-performance concrete using machine learning techniques” by Wu, Yangi et al., https://doi.org/10.1007/s11356-022-22048-2 Environmental Science and Pollution Research, 2023, 30 : 109854 - 109855