Results 181 to 190 of about 7,316,909 (397)

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

Novel Biologically Active Glass Fiber Functionalized Using Magnesium Phosphate Cement Promotes Bone and Vascular Regeneration

open access: yesAdvanced Biology, EarlyView.
In this study, a new type of bioactive glass fiber ‐based composite magnesium phosphate bone cement is prepared and verified that its mechanical strength and biological properties. In addition, the cement may have played a biologically active role in the Notch and HIF signaling pathways.
Yuzheng Lu   +12 more
wiley   +1 more source

Medical Library in Need [PDF]

open access: yesJournal of the Royal Society of Medicine, 1978
openaire   +3 more sources

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

Medical Library Association Diversity and Inclusion Task Force Report. [PDF]

open access: yesJ Med Libr Assoc, 2021
Morgan-Daniel J   +5 more
europepmc   +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

Lincoln Medical Library

open access: green, 1966
David G. Burgess
openalex   +1 more source

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