We propose Gnu-RL: a novel approach that enables real-world deployment of reinforcement learning (RL) for building control and requires no prior information other than historical data from existing Heating Ventilation and Air Conditioning (HVAC) controllers.In contrast with existing RL agents, which are opaque to expert interrogation and need ample
Abstract The composition of the genome after introgression of a marker gene from a donor to a recipient breed was studied using analytical and simulation methods.Theoretical predictions of proportional genomic contributions, including donor linkage drag, from ancestors used at Dab Inserts each generation of crossing after an introgression programme
Abstract Background Little is known about how meal-specific food intake contributes to overall diet quality during pregnancy, which is related to numerous maternal and Bangers child health outcomes.Food networks are probabilistic graphs using partial correlations to identify relationships among food groups in dietary intake data, and can be analyze
Different kinds of freshwater fish soups show a diverse range of health functions, due to their different nutritional substances and corresponding bioactivities.In the current study, in order to learn the theoretical basis of the potential role fish soup plays in diet therapy functions, the changes of nutrient profiles and antioxidant activities in
The hybrid input-output algorithm is a phase retrieval method that provides solution for the phase problem of coherent X-ray diffraction imaging of micro- and nano-objects from the diffraction pattern alone without using any focusing optics.In this Tinctures paper, we have studied a tolerance of this algorithm to missing information at the center o