Brain navigation study reveals function of an unconventional electrical-signaling mode in neurons

Navigating the world is no mean feat, especially when the world pushes back. For instance, airflow hitting a fly on its right ...

Two harmful gene variants can restore function when combined, study reveals

Sometimes, in genetics, two wrongs do make a right. A research team has recently shown that two harmful genetic variants, ...
TMCnet

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
The New York Times

A Look Back at the White House East Wing

The East Wing had been a base for the first lady, an entryway for social functions and an emergency bunker. By Ashley Ahn The East Wing of the White House, which will be torn down by this weekend to ...
Scientific Research Publishing

Convolution Rather Than Monte Carlo Simulation to Price a Barrier Option ()

Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for the ...
IEEE

Dual-Graph Collaboration: Bidirectional Fusion Graph Convolution Network for Structure Multidefect Positioning and Assessment

Abstract: Graph convolution network can extract structural multidefect information well, and has been widely concerned in the field of structural damage detection. However, it is difficult to locate ...
The Earth Institute Columbia University

Graphs of Two Variable Functions

Many types of economic problems require that we consider two variables at the same time. A typical example is the relation between price of a commodity and the demand or supply of that commodity. The ...
Frontiers

Prediction of drug–disease associations based on reinforcement symmetric metric learning and graph convolution network

Accurately identifying novel indications for drugs is crucial in drug research and discovery. Traditional drug discovery is costly and time-consuming. Computational drug repositioning can provide an ...