Life doesn’t pause for a DSA challenge, and I’m not going to pretend otherwise. I got through fewer problems than planned — but I got through them properly, and I’m stopping here rather than grinding ...

Background: Prediabetes and type 2 diabetes are associated with increased risk for hepatic steatosis. Yet, the associations between dynamic measures of glycemia and hepatic steatosis among individuals ...

Cancer Res (2026) 86 (7_Supplement): 7845. Thirty-five metastatic lung cancer patients were prospectively enrolled (31.4% female; median age 70, IQR 41-84). Plasma was collected at baseline and, for ...

Cancer Res (2026) 86 (5_Supplement_1): B011. Direct RAS inhibitors are poised to transform the treatment landscape for pancreatic ductal adenocarcinoma (PDAC), where frontline therapy remains ...

Explore the power of interactive physics visualizations with animated graphs using VPython and GlowScript for dynamic simulations! This guide demonstrates how to create real-time animated graphs that ...

Abstract: Graph neural networks (GNNs) have demonstrated significant success in solving real-world problems using both static and dynamic graph data. While static graphs remain constant, dynamic ...

Background: Posterior circulation strokes without findings on conventional non-dynamic vascular imaging (CTA or MRA) are often presumed cardioembolic or hypercoagulable. This may lead to ...

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...

Dynamic Graph Neural Networks (Dynamic GNNs) have emerged as powerful tools for modeling real-world networks with evolving topologies and node attributes over time. A survey by Professors Zhewei Wei, ...

I want to use batching or dynamic batching with a decoupled python model. However the usual approach of iterating over requests and appending tensor to a global list does not work. The reason for this ...