π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing.

Peptide sequencing via tandem mass spectrometry (MS/MS) is essential in proteomics. Unlike traditional database searches, deep learning excels at de novo peptide sequencing, even for peptides missing from existing databases. Current deep learning models often rely on autoregressive generation, which suffers from error accumulation and slow inference speeds.

Medical Education Reform in China in the 21st Century: A Literature Review.

Facing resource shortages and increasing gaps between regions and populations during the 20th century, around the 70s, the Chinese government authorized local governments to independently operate their own medical system, including medical education, to provide basic medical services and meet healthcare needs. These multiple independent but unparallel medical education systems throughout the nation inevitably created education quality disparities. Around the beginning of the 21st century, the Chinese government started a medical education standardization reform.

Trust in government vaccine recommendations during the Covid-19 pandemic in Singapore: A longitudinal survey study.

Background: Trust in governments has been decreasing in recent years, especially during the Covid-19 pandemic, where low-trust societies showed reduced compliance with disease control measures. Few studies have examined how trust in authorities changed over the pandemic. This study investigated the trajectory of public trust in the Singapore government's vaccine recommendations during this period.

scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis.

With the rapidly development of biotechnology, it is now possible to obtain single-cell multi-omics data in the same cell. However, how to integrate and analyze these single-cell multi-omics data remains a great challenge. Herein, we introduce an interpretable multitask framework (scMoMtF) for comprehensively analyzing single-cell multi-omics data.

All Roads Lead to Rome: Pathways to Engineering Disease Resistance in Plants.

Unlike animals, plants are unable to move and lack specialized immune cells and circulating antibodies. As a result, they are always threatened by a large number of microbial pathogens and harmful pests that can significantly reduce crop yield worldwide. Therefore, the development of new strategies to control them is essential to mitigate the increasing risk of crops lost to plant diseases.