Results 201 to 210 of about 5,959,618 (329)

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

The impact of exercise on skeletal muscle proteome of prediabetic subjects analyzed with data independent mass spectrometry. [PDF]

open access: yesSci Rep
Czajkowska A   +7 more
europepmc   +1 more source

Intersection Between Local Anesthetics and Cancer Biology: What Now? Where Are We Going?

open access: yesAdvanced Biology, EarlyView.
Local anesthetics (LAs), widely used in anesthesia, may also play a role in cancer treatment by inhibiting tumor growth, reducing metastasis, and enhancing immune responses. They modulate key pathways like AKT/mTOR and RAS/ERK while affecting angiogenesis and tumor innervation and the immune response.
Eduardo Nunez‐Rodriguez   +3 more
wiley   +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

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

Quality Enhancement of Laser Powder‐Bed Fusion Parts by Acoustically Assisted Additive Manufacturing by Laser Powder‐Bed Fusion and its Application to Lattice Structures

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing technologies like laser powder‐bed fusion offer great design freedom and individualization of products down to a batch size of one. However, parts fabricated with this technology suffer from poor quality. Acoustic assistance during the build process can minimize these drawbacks.
Oliver Maurer, Dirk Bähre
wiley   +1 more source

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