Results 91 to 100 of about 1,804,645 (286)
program of the 244th National Meeting of the American Meteorological Society on Cloud Physics and Severe Local Storms, October 18–22, 1965, Reno, Nev. [PDF]
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Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi+4 more
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Definition of study groups, including young individuals (n = 7 mean age: 28.7 years), middle aged individuals (n = 14 mean age: 62.3 years) and elderly individuals (n = 14 mean age: 83.9 years). Condensed workflow including sample preparation (sample lysis and tryptic digestion), mass spectrometric measurements and subsequent data and statistical ...
Britta Eggers+10 more
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Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
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
The Hans Neurath Award lecture of The Protein Society: Proteins—A testament to physics, chemistry, and evolution [PDF]
Janet M. Thornton
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Introducing the Reactor Physics Group in the Atomic Energy Society of Japan [PDF]
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Digital Methods for the Fatigue Assessment of Engineering Steels
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
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This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein+44 more
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