Abstract Recently, the concept of spread complexity, Krylov complexity for states, has been introduced as a measure of the complexity and chaoticity of quantum systems.In this paper, we study the spread complexity of the thermofield double state within integrable systems that exhibit saddle-dominated scrambling.Specifically, we focus on the Lipkin-
Abstract Background Plastic is widely utilized in packaging, frameworks, and as coverings material.Its overconsumption and slow degradation, pose threats to ecosystems due to its toxic effects.While polyhydroxyalkanoates (PHA) offer a sustainable alternative to petroleum-based plastics, their production costs present significant obstacles to global
Problem: Previous studies had confirmed that some deep learning models had high diagnostic performance in staging liver fibrosis.However, training efficiency of models predicting liver fibrosis need to be SHAVE SET improved to achieve rapid diagnosis and precision medicine.Aim: The deep learning framework of EfficientNetV2-S was noted because of it
CRISPR/Cas-based genome editing technologies have the potential to fast-track large-scale crop breeding programs.However, the rigid cell wall limits the delivery of CRISPR/Cas components into plant cells, decreasing genome editing efficiency.Established methods, such as Agrobacterium tumefaciens-mediated or biolistic transformation have been used t