Building models that can be rapidly adapted to novel tasks using only a handful of annotated examples is an open challenge for multimodal machine learning research. We introduce …
PubChem ( https://pubchem.ncbi.nlm.nih.gov ) is a public repository for information on chemical substances and their biological activities, launched in 2004 as a component of the …
Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism. Thanks to its strong representation …
Background There are no systemic treatments for patients with hepatocellular carcinoma (HCC) whose disease progresses during sorafenib treatment. We aimed to assess the efficacy …
… and by social institutions, Clara Han maps our brave new world … Han transforms underclass urban ethnography in Latin … of the urban poor, Clara Han has crafted an exceptional analysis …
Mining information and knowledge from large databases has been recognized by many researchers as a key research topic in database systems and machine learning, and by many …
Mammalian cells respond to endotoxic lipopolysaccharide (LPS) by activation of protein kinase cascades that lead to new gene expression. A protein kinase, p38, that was tyrosine …
Recently Transformer and Convolution neural network (CNN) based models have shown promising results in Automatic Speech Recognition (ASR), outperforming Recurrent neural …
Methods. In a multicenter, randomized clinical trial, 508 patients were allocated to 1 of 4 treatment strategies: sequential disease-modifying antirheumatic drug monotherapy (group 1), …
Blood–brain barrier (BBB) is a natural protective membrane that prevents central nervous system (CNS) from toxins and pathogens in blood. However, the presence of BBB complicates …