Optical cavities confine light on a small region in space, which can result in a strong coupling of light with materials inside the cavity. This gi ...

Understanding how ecosystems respond to ubiquitous microplastic (MP) pollution is crucial for ensuring global food security. Here, we conduct a multiecosystem meta-analysis of 3,286 data points and ...

A very efficient electrogenerated Fe0 porphyrin catalyst was obtained by substituting in tetraphenylporphyrin two of the opposite phenyl rings by o ...

This study investigates the role of anion–π interactions, a type of noncovalent bonding, in synthetic polymers—a largely uninvestigated area. Inspired by mussel foot proteins, known for their strong ...

GdPtBi and NdPtBi belong to the Heusler family of compounds and are conventional antiferromagnets below 9 and 2.1 K, respectively. We present evidence for magnetic-field–induced Weyl physics in these ...

Thaler and Sunstein’s “nudge” (1) has spawned a revolution in behavioral science research. Despite its popularity, the “nudge approach” has been criticized for having a “limited evidence base” (e.g., ...

Allow Golden Rice to save livesThe consumption of the genetically modified rice variety known as Golden Rice (GR) offers a potent and cost-effective strategy to combat VAD. But this innovation has ...

Vivid, saturated structural colors are conspicuous and important features of many animals. A rich diversity of three-dimensional periodic photonic nanostructures is found in the chitinaceous ...

Social connection is essential to physical and psychological well-being, and conversation is the primary means by which it is achieved. And yet, scientists know little about it—about how it starts, ...

Gene drive has become a hot topic in the popular press and the scientific literature, yet little consensus vocabulary on the subject exists. As members of the gene drive community, we have developed a ...

We show that for thousands of years, humans have concentrated in a surprisingly narrow subset of Earth’s available climates, characterized by mean annual temperatures around ∼13 °C. This distribution ...

The phenomenon of benign overfitting is one of the key mysteries uncovered by deep learning methodology: deep neural networks seem to predict well, even with a perfect fit to noisy training data.