Results 141 to 150 of about 292,639 (308)
The Regulation of Trace Metal Elements in Cancer Ferroptosis
The induction of ferroptosis inhibits tumor growth, enhances anticancer efficacy, and overcomes drug resistance. Recent evidence shows nonferrous metal elements play a role in ferroptosis. This review focuses on how trace metals regulate ferroptosis processes like iron accumulation, lipid peroxidation, and antioxidant defense.
Xiaoyan Wang+5 more
wiley +1 more source
G-connections on principal bundles over complete G-varieties [PDF]
Bivas Khan, Mainak Poddar
openalex +2 more sources
Ehreshmann theory of connection in a principal bundle - compendium for physicists
In the paper we give a compendium about theory of connection. We think that this compendium will be useful for young relativists.
Dudek, Marta, Garecki, Janusz
openaire +2 more sources
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
The integration problem for principal connections [PDF]
In this paper we introduce the Integration Problem for principal connections. Just as a principal connection on a principal bundle $\phi:Q\rightarrow M$ may be used to split $TQ$ into horizontal and vertical subbundles, a discrete connection may be used to split $Q\times Q$ into horizontal and vertical submanifolds.
arxiv
Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke+4 more
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle+2 more
wiley +1 more source
In‐mold electronics (IME) enables the integration of circuits into more complex scenarios, yet the key challenge remains ensuring a fully functional device. This study investigates how the presence of structural adhesives can improve the performance and functionality of IME devices, addressing key challenges in device integration.
Francisco Ituriel Arias‐García+3 more
wiley +1 more source
Atiyah sequences, connections and characteristic forms for principal bundles over groupoids and stacks [PDF]
Indranil Biswas, Frank Neumann
openalex +1 more source