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- [21] Comments on Association between ambient air pollutant interaction with kidney function in a large Taiwanese population study by Su et al. (https://doi.org/10.1007/s11356-023–28042-6) Environ. Sci. Pollut. Res., 2024, 30 (43422-43424): : 43422 - 43424
- [23] Comments on “Impact of meteorological parameters and air pollutants on airborne concentration of Betula pollen and Bet v 1 allergen” by Vašková1, Zuzana et al., https://doi.org/10.1007/s11356-023–29061-z Environmental Science and Pollution Research, 2024, 31 : 24675 - 24676
- [25] 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
- [26] Answer to Comments on "Comparison between various scoring systems in predicting the need for intensive care unit admission of acute pesticide-poisoned patients" by El-Sarnagawy et al. (https://doi.org /10.1007/s11356-021-17790-y) ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (50) : 109856 - 109857
- [27] 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
- [28] Answer to Comments on “ Comparison between various scoring systems in predicting the need for intensive care unit admission of acute pesticide-poisoned patients” by El-Sarnagawy et al. (https://doi.org /10.1007/s11356-021–17790-y) Environmental Science and Pollution Research, 2023, 30 : 109856 - 109857