For more than half a century, seismic deconvolution has been of a great interest in reflection seismics. Its goal is to remove the effect of the seismic wavelet, i.e., the waveform produced by the ...

Using machine learning, OmicsTweezer merges diverse data by using deep learning combined with optimal transport.

This paper focuses on indoor semantic segmentation using RGB-D data. Although the commonly used deconvolution networks (DeconvNet) have achieved impressive results on this task, we find there is still ...

Researchers have developed a powerful new tool that makes it easier to study the mix of cell types in human tissue, which is ...

Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

Untargeted lipidomics analysis is widely performed using a variety of mass spectrometric methods. The original procedure, ...

Fund announced today a total investment of approximately JPY 1 billion (USD 7.3 million1) in four R&D projects for the development of vaccine, drug, and diagnostics for malaria and tuberculosis (TB).2 ...

Researchers have developed a powerful new tool that makes it easier to study the mix of cell types in human tissue, which is crucial for understanding diseases such as cancer.

Researchers have developed a powerful new tool that makes it easier to study the mix of cell types in human tissue, which is crucial for understanding diseases such as cancer.