Multivariate time series data, which comprise a set of ordered observations for multiple variables, are pervasively generated in weather conditions, traffic, financial stocks, etc.Therefore, it is of great significance to analyze the correlation between multiple time series.Financial stocks generate a significant amount of multivariate time series
Abstract Background Hyperglycemic crisis is one of the most common and severe complications of diabetes mellitus, associated with a high motarlity rate.Emergency admissions due to hyperglycemic crisis remain prevalent and challenging.This study aimed to develop and validate predictive models for in-hospital mortality risk among patients with hyperg
Colonoscopy is an effective method for detecting polyps to prevent colon cancer.Existing studies have achieved satisfactory polyp detection performance by aggregating low-level boundary and high-level region information in convolutional neural networks (CNNs) for precise polyp segmentation in colonoscopy images.However, multi-level aggregation prov
Growing evidence supports other regulatory roles for protein ubiquitination in addition to serving as a tag for proteasomal degradation.In contrast to other common post-translational modifications, such as phosphorylation, little is known about how non-degradative ubiquitination modulates protein structure, dynamics, and function.Due to the wealth