This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

This paper addresses a class of distributed nonsmooth optimization problems whose objective function is a sum of convex local objective functions subjected to local set constraints and heterogeneous ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Competitive pressures to be a low-cost provider can cause many energy and chemicals companies to invest in smart operations ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Over the past decade, kitchens have evolved at a breathtaking pace. With every new technological innovation, we have ...

A distributed optimization problem (DOP) with affine equality and convex inequality constraints is studied in this article. First, the consensus constraint of the considered DOP is relaxed and a ...

Researchers in the Middle East claim to have identified the optimal parameters for the commercial production of perovskite-silicon tandem solar modules across several locations. Their analysis ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

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 ...

Data is often called the lifeblood of modern healthcare. As the industry evolves, its ability to harness and act on data effectively will distinguish the innovators from the status quo. Today, ...