While nature has evolved enzymes to carry out a vast array of chemical transformations, selecting the ideal protein to initiate an enzyme engineering campaign often presents a significant challenge, ...

Understanding these dynamic mechanisms is crucial for enhancing the effectiveness of digital health communication and optimizing crisis response strategies. Objective: We analyzed how cultural and ...

Abstract: In this study, we present a novel end-to-end approach based on the encoder-decoder framework with the attention mechanism for online handwritten mathematical expression recognition (OHMER).

Specifically, the accuracy was 0.8384 for sadness, 0.9537 for neutral sentiment, 0.9559 for happiness, and 0.7500 for surprise. Conclusions: The phenomenon of social sharing of emotions provides ...

Trias is an encoder-decoder language model trained to reverse-translate protein sequences into codon sequences. It learns codon usage patterns from 10 million mRNA coding sequences across 640 ...

Artificial Intelligence (AI) is an extensive concept that can be interpreted as a concentration on designing computer programs to train machines to accomplish functions like or better than hu-mans. An ...

Same as traditional autoencoders, VAE architecture has two parts: an encoder and a decoder. Traditional AE models map inputs into a latent-space vector and reconstruct the output from this vector. VAE ...

scBiG is a graph autoencoder network where the encoder based on multi-layer graph convolutional networks extracts high-order representations of cells and genes from the cell-gene bipartite graph, and ...