Results 251 to 260 of about 29,783 (290)

HMGB1 Derived from the Pyroptotic Microenvironment Promotes Macrophage Extracellular Traps in Hirschsprung‐Associated Enterocolitis

open access: yesAdvanced Biology, EarlyView.
HMGB1 derived from the pyroptotic environment in Hirschsprung‐associated enterocolitis mediates the formation of macrophage extracellular traps through TLR4 ‐p38 MAPK/p65 NF‐kB signaling pathways. Macrophage extracellular traps induce increased ROS production and pyroptosis of colonic epithelial cells.
Rui Zhang   +6 more
wiley   +1 more source

Overweight and Obesity in School Children: Prevalence and Associated factors. [PDF]

open access: yesTunis Med
Mahjoub F   +5 more
europepmc   +1 more source

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

A widespread family of ribosomal peptide metallophores involved in bacterial adaptation to metal stress. [PDF]

open access: yesProc Natl Acad Sci U S A
Leprevost L   +16 more
europepmc   +1 more source

Numerical Studies of Influencing Factors on the Homogeneity of the Powder Mixture during the Powder Spreading Process of Powder Bed Fusion–Laser Beam/Metal

open access: yesAdvanced Engineering Materials, EarlyView.
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng   +7 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

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