Neural network-based approaches have become the driven forces for Natural Language Processing (NLP) tasks.Conventionally, there are two mainstream neural architectures for NLP tasks: the recurrent neural network (RNN) and the convolution neural network (ConvNet).RNNs are good at modeling long-term dependencies over input texts, but preclude paralle
Population size estimation of chirp and grunt generating fish and mammals using cross-correlation based technique with three acoustic sensors
Passive acoustic monitoring has the potential to be a useful tool for population estimation of sound-producing fish and mammals (mostly whales).Previous work on population estimates of callers employed a simple cross-correlation technique with recordings from two acoustic sensors, and the current work extends the technique to two configurations of
ERAP1 Controls the Interaction of the Inhibitory Receptor KIR3DL1 With HLA-B51:01 by Affecting Natural Killer Cell Function
The endoplasmic reticulum aminopeptidase ERAP1 regulates innate and adaptive immune responses by trimming peptides for presentation by major histocompatibility complex (MHC) class I molecules.Previously, we have shown that genetic or pharmacological inhibition of ERAP1 on murine and human tumor cell lines perturbs the engagement of NK cell inhibito