It was New Year’s Eve and there had been fireworks, drinking and dancing. Amid it all, I felt ashen and cold. As I walked out, I felt my first surge of quiet liberation ...

A dense Arctic bonebed shows marine life and ocean food webs recovered far faster than scientists once believed after mass ...

If you followed a vegan, flexitarian, or carnivore diet in 2025, here’s how to measure the effect of your food choices on the ...

From classic shoyu to spice-filled specials – these are the 20 best ramen joints that opened in Tokyo over the past year ...

There’s a moment when you’re driving along the Glenn Highway in Alaska, somewhere between Anchorage and Glennallen, when civilization seems to fade away and the Chugach Mountains rise up like nature’s ...

The bagels at Stein’s aren’t just good “for New Orleans” or “for the South”—they’re objectively excellent by any standard. They would hold their own on the most bagel-saturated block in New York City, ...

This is what the Defector staff enjoyed eating in 2025. Objectively Mid Sichuan In Grenoble No matter your opinion on the ...

This Animal Crossing: New Horizons Fish guide features a complete list of all 80 Fish that are available to catch and collect throughout the game, along with their locations, the best time-frames ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

First-order derivatives: n additional function calls are needed. Second-order derivatives based on gradient calls, when the "grd" module is specified (Dennis and Schnabel 1983): n additional gradient ...

Abstract: Based on the far-field approximations, a deep learning-based method is proposed for millimeter-wave short-range imaging. By using convolutional neural networks, the distortions caused by the ...

Abstract: In this paper, we propose a successive pseudoconvex approximation algorithm to efficiently compute stationary points for a large class of possibly nonconvex optimization problems. The ...