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These findings challenge the traditional natural equals safe paradigm and necessitate evidence-based dosing recommendations

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Speaker: Mr Hashem Alsibai (Politecnico di Torino) 527 Deep Learning-Based Building Energy Consumption Prediction Model Considering Occupant Density Using Mobile Network Big Data: A Case Study of Seoul In today's world, the rapidly increasing urban population and the corresponding rise in energy demand have made optimizing energy consumption in buildings a critical issue for urban planners and policymakers