Results 141 to 150 of about 6,620,238 (311)

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

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

Serum Antibodies Against Chlamydia pneumoniae Outer Membrane Protein Cross-React With the Heavy Chain of Immunoglobulin in the Wall of Abdominal Aortic Aneurysms [PDF]

open access: bronze, 2004
Jes S. Lindholt   +6 more
openalex   +1 more source

A Novel Digitalization Approach for Smart Materials – Ontology‐Based Access to Data and Models

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
In order to access heterogeneous material data and model‐based knowledge, the established ontology‐based data access (OBDA) is extended to include material models. This novel ontology‐based data and model access (OBDMA) enables the computation of new responses beyond stored data.
Jürgen Maas   +15 more
wiley   +1 more source

Digital Methods for the Fatigue Assessment of Engineering Steels

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener   +7 more
wiley   +1 more source

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