Results 171 to 180 of about 133,086 (323)
Multi-Dimensional Quantum-like Resources from Complex Synchronized Networks. [PDF]
Saha D, Scholes GD.
europepmc +1 more source
Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley +1 more source
Grafting‐to rather than the grafting‐from strategy envisioned 10 years ago is shown to make cell‐penetrating poly(disulfide)s compatible with dynamic covalent bioconjugation at high dilution (50 nM) and top rates (1500 M−1s−1), genetic engineering and transduction domains, that is traceless tags for protein delivery, including intact functional anti ...
Michael Cognet +4 more
wiley +2 more sources
Entanglement and the density matrix renormalization group in the generalized Landau paradigm. [PDF]
Lootens L +3 more
europepmc +1 more source
Tensor products of topological Abelian groups.
openaire +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Frame‐Shifted Synthesis of Oligoheterocycles as a Platform for Molecular Design
Modern chemistry seeks to turn the simple raw materials into complex molecules that matter in health, agriculture, and technology. Among these, oligoheterocycles stand out for their versatility, yet they are most often built by cross‐coupling reactions that often rely on expensive metal catalysts.
Kane A. C. Bastick +6 more
wiley +2 more sources
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
The Category of Anyon Sectors for Non-Abelian Quantum Double Models. [PDF]
Bols A +3 more
europepmc +1 more source
This study introduces a framework to monolithically 3D print highly bioinspired hands, composed of soft and stiff segments, using cost‐effective desktop printers. A magnetic resonance imaging‐informed approach replicates key anatomical features, such as collateral ligaments and volar plates, enabling enhanced functionality and human‐like behavior. This
Gianni Stano +5 more
wiley +1 more source

