Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

Limitation is the mother of innovation. When there’s no clear path forward, you start building your own. This is a mindset ...

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...

This is a useful study in the role of CHI3L1 in Kupffer cells, the macrophages of the liver, showing that CHI3L1 alters glucose regulation in obesity. Specifically, Chi3l1 protects glucose-dependent ...

This is the fourth installment in a multi-part series on evaluating various RAG systems using Tonic Validate, a RAG evaluation and benchmarking platform. In this installment, we pit OpenAI's RAG Assis ...

Mass Effect TV Show Brings On One Of Its Most Important Creative Roles - Report The long-in-development TV show is moving ahead, it appears. By Eddie Makuch on June 6, 2025 at 11:22AM PDT Comments ...

KS2 English Creative writing learning resources for adults, children, parents and teachers.

GCSE Edexcel Straight line graphs - Edexcel y = mx + c Graphs show the relationship between two variables and are often seen in newspapers and the media. People who work in professions involving ...

The week's most popular albums on independent labels, as compiled by Luminate, based on multi-metric consumption blending traditional album sales, track equivalent albums and streaming (audio ...

The best data visualization tools transform raw data from spreadsheets, databases, and other sources into easy-to-read graphs, charts, and other graphic assets. Why would you want to do that?

Thus, an algorithm which can efficiently select a high-quality subset from a large-scale candidate set (e.g., UA) is needed. In this article, we propose a gradient-guided local search hypervolume ...

Graph convolutional neural netwoks (GCNNs) have been emerged to handle graph-structured data in recent years. Most existing GCNNs are either spatial approaches working on neighborhood of each node, or ...