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 ...

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 ...

AI has been a buzzword in the pharmaceutical industry for almost a decade, with countless headlines promising to revolutionise how drugs are discovered, developed, and deployed.

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, ...

This study overcomes the challenge of imaging low-copy-number proteins in live cells by combining Halo-SiR labeling with sparse deconvolution structured illumination microscopy (Sparse-SIM). Targeting ...

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.

基于多尺度特征融合和时空注意力LSTM的台风云图预测研究全文请用PC端下载 地址：http://www.hyyb.org.cn/Magazine/Show.aspx?ID=3636读书小笔记作者：程勇1 钱坤1 王军1 渠海峰1 李伟1 杨玲1 ...

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.