{'fraction_non_alphanumeric': 0.011589403973509934, 'fraction_numerical': 0.0, 'mean_word_length': 5.4361702127659575, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Towards an Integrated and Adaptive Risk Assessment Tool for Engineered Nanoparticles

An original and innovative approach to assess the risks associated to engineered nanoparticles is presented. The primary observations from the literature review are discussed and point out the interdependency of most risk factors. This sole fact justifies the need for an adequate analytical model to ensure a proper risk management for the development of an adaptive decision-making tool. With this objective, optimization-based modelling tests were first conducted in order to validate the feasibility of the method.