Add articles to your saved list and come back to them any time. These six graphs break down expected sources of state tax revenue, the budget’s bottom line over the coming years, the scale of ...

Save guides, add subjects and pick up where you left off with your BBC account. A time graph is a line graph which shows you data that has been collected over a period of time. There is a title ...

We propose a novel unified spatial–temporal regression framework named Generalized Spatial–Temporal Regression Graph Convolutional Transformer (GSTRGCT) that extends panel model in spatial ...

This important study presents compelling observational data supporting a role for transcription and polysome accumulation in the separation of newly replicated bacterial chromosomes. Through a ...

Variable selection for regression model construction is a critical problem in clinical studies with small sample sizes where it is unclear which factors should be adjusted. In such situations, ...

Kaplan-Meier method and log-rank test was used to perform survival analysis. Univariate and multivariate Cox regression risk model were used to analyze the risk factors of diabetic nephropathy. A ...

CORAL (COnsistent RAnk Logits) and CORN (Conditional Ordinal Regression for Neural networks) are methods for ordinal regression with deep neural networks, which address the rank inconsistency issue of ...

Composite mt-RNA and ISG scores were calculated using logistic regression models. Their discriminative power was evaluated using receiver operating characteristic curve analyses, and correlations with ...