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Secure and intelligent 5G-enabled remote patient monitoring using ANN and Choquet integral fuzzy VIKOR
Dynamic correlation analysis of sectoral electricity consumption and urban carbon concentration using machine learning models
Construction of dynamic trafficability map for unmanned vehicles considering multiple environmental factors and path planning
Explainable SHAP-XGBoost models for pressure injuries among patients requiring with mechanical ventilation in intensive care unit
A study on the relationship between internet popularity and emotional perception of urban parks using Weibo data in Luoyang, China
Serum metabolomic analysis in patients with Hashimoto’s thyroiditis positive for TgAb or TPOAb: a preliminary study
Development necessitates evolutionarily conserved factors
Abstract Early-stage generalised transcription factors in biological development are often evolutionarily conserved across species. Here, we find for the first time that similar factors functionally emerge in an alternative medium of development. Through comprehensively analysing a Neural Cellular Automata (NCA) model of morphogenesis, we find multiple properties of the hidden units that are functionally analogous to early factors in biological development. We test the generalisation abilities of our model through transfer learning of other morphologies and find that developmental strategies learnt by the model are reused to grow new body forms by conserving its early generalised factors. Our paper therefore provides evidence that nature did not become locked into one arbitrary method of developing multicellular organisms: the use of early generalised factors as fundamental control mechanisms and the resulting necessity for evolutionary conservation of those factors may be fundamental to development, regardless of the details of how development is implemented.