Abstract: In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large ...

Abstract: We propose a single-station transfer function method using six-component (6-C) seismometer data. Conventional single-station methods assume monochromatic waves and rely on narrow-bandpass ...

The glymphatic system is a glial-dependent waste clearance pathway in the central nervous system (CNS) of vertebrates that exploits the perivascular compartment between the vascular basement membrane ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

Function calling lets an LLM act as a bridge between natural-language prompts and real-world code or APIs. Instead of simply generating text, the model decides when to invoke a predefined function, ...

Scientists at Newcastle University have developed a new lung scanning method that reveals the real-time effects on lung function. The technique allows the team to track how air moves in and out of the ...

A new method of scanning lungs is able to show in real time how air moves in and out of the lungs as people take a breath in patients with asthma, chronic obstructive pulmonary disease (COPD), and ...

Radial Basis Function methods for scattered data interpolation and for the numerical solution of PDEs were originally implemented in a global manner. Subsequently, it was realized that the methods ...