Single cells interact continuously to form a cell environment that drives key biological processes. Cells and cell environments are highly dynamic across time and space, fundamentally governed by ...

The University of California opened its doors in 1869 with just 10 faculty members and 40 students. Today, the UC system has more than 295,000 students and 265,000 faculty and staff, with 2.0 million ...

Abstract: Multi-modal medical images provide complementary soft-tissue characteristics that aid in the screening and diagnosis of diseases. However, limited scanning time, image corruption and various ...

In clinical practice, the development of personalized treatment strategies for cervical cancer is hindered by the limited accuracy of drug response prediction, partly due to missing modalities in ...

Abstract: In this paper, we propose a Modality-aware Diffusion Distillation Network (MDDN), consisting of Diffusion-based Modality Imputation (DMI) and Margin-aware Distillation (MAD) modules, for ...

Finally, some good news: More and more people are getting active, according to the Sports and Fitness Industry Association’s (SFIA) recent report. For the first time since they started tracking ...

The handling of missing data in cognitive diagnostic assessment is an important issue. The Random Forest Threshold Imputation (RFTI) method proposed by You et al. in 2023 is specifically designed for ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

While the parties’ tax returns are the foundation for courts’ calculations of income, courts are vested with broad discretion to look beyond them, making the issue ripe for litigation. As far as ...

The paper investigated the problem of restoring missing values in time series data analysis. The aim of this study was to advance the imputation of missing values for some autoregressive moving ...