A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

Adaptive decomposition techniques have emerged as a pivotal class of methods in functional analysis, unifying approximation theory, operator theory and signal processing under a common framework. At ...

This document is designed to help users quickly understand, use, and maintain the Python implementation of the Matrix-Sparsity-Based Pauli Decomposition (MSPD) algorithm. It specifies the function, ...

Predicting rates by which dead plant material breaks down is essential for global carbon models. Dryland ecosystems are critical to the global carbon cycle, as they cover >40% of the terrestrial area, ...

Tensor decomposition is a fundamental tool for analyzing multi-dimensional data by learning low-rank factors to represent high-order interactions. While recent works on temporal tensor decomposition ...

Coarse woody debris (CWD) plays a vital role in forest ecosystems, serving as a reservoir for carbon sequestration. While global climate change is expected to exacerbate forest disturbances and lead ...

Abstract: Functional decomposition is a powerful tool for systems analysis because it can reduce a function of arbitrary input dimensions to the sum and superposition of functions of a single variable ...

Functional strength training involves exercises that mimic everyday activities, such as climbing stairs. It aims to improve people’s movement in their daily lives or their performance in certain ...

After a busy day of excelling at work and tending to your daily tasks, it's not uncommon to feel pretty drained by the time you get home. But if you experience that feeling frequently or find yourself ...