By appreciating the nature of "random error," one can more easily develop a mechanistic understanding of the cause-and-effect ...

Whole-blood transfusion has recently gained favor in the management of severe hemorrhage; however, data from large clinical trials evaluating its clinical effectiveness and safety are lacking. We ...

Eeny, meeny, miny, mo, catch a tiger by the toe – so the rhyme goes. But even children know that counting-out rhymes like this are no help at making a truly random choice. Perhaps you remember when ...

Reading the Communications March 2025 issue, it struck me how many articles assume large language models (LLMs) are the inevitable and best future path for artificial intelligence (AI). Here, I ...

Adam is a freelance writer specializing in the fields of professional wrestling, video games, and film and television. With past experience at an array of media outlets, including WhatCulture, Inside ...

According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s. They’ve now both been proved wrong. It started with a bet. In the late 1980s, at a ...

Mendelian randomization (MR) represents a valuable methodology to address the causal relationships between an exposure and an outcome. In MR studies, instrumental variables associated with the ...

Abstract: Currently, deep neural networks (DNNs) are susceptible to adversarial attacks, particularly when the network's structure and parameters are known, while most of the existing attacks do not ...