Results 181 to 190 of about 280,147 (323)

The Regulation of Trace Metal Elements in Cancer Ferroptosis

open access: yesAdvanced Biology, EarlyView.
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

New insights into the endophenotypic status of cognition in bipolar disorder: Genetic modelling study of twins and siblings [PDF]

open access: bronze, 2016
Anna Georgiades   +12 more
openalex   +1 more source

Social Cognitive Treatment (T-ScEmo) for Various Neurological Patient Groups: Study Rationale and Protocol for a Randomized Control Trial (T-ScEmo4ALL). [PDF]

open access: yesBMC Neurol
Heegers A   +7 more
europepmc   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
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 Viability of the Refractory High‐Entropy Alloy AlMo0.5NbTa0.5TiZr for High‐Temperature Structural Applications

open access: yesAdvanced Engineering Materials, EarlyView.
Refractory high‐entropy alloys have attracted substantial attention for future ultrahigh‐temperature structural applications. Here the progression of key phase transformations in AlMo0.5NbTa0.5TiZr is established and correlated to the mechanical performance, highlighting the importance of the B2 phase.
George J. Wise   +5 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
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

Social cognition in Intermittent Explosive Disorder and aggression [PDF]

open access: green, 2016
Emil F. Coccaro   +3 more
openalex   +1 more source

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