Results 121 to 130 of about 5,664,698 (378)
Laser accelerators may be conveniently characterized, by their mode of operation, into media, far-field, and near-field accelerators. The first category--media accelerators--include the Inverse Cherenkov Effect Accelerator, the Plasma Focus Accelerator, and the Beat Wave Accelerator (BWA).
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The glomerular filtration barrier (GFB) is the first step of blood filtration by the kidneys. The concerning increase of kidney diseases makes the development of new models essential. In this context, microphysiological glomerular filtration barriers focus on closely reproducing the physiological architecture of the in vivo GFB: podocytes, glomerular ...
Manon Miran+5 more
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A Laser Radar for Atmospheric Studies [PDF]
B. R. Clemesha, G. S. Kent, R.W. Wright
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A detailed workflow for recombinant GALC production and characterization is presented to support enzyme replacement therapy for Krabbe disease. In vitro assays demonstrate that physiological GALC doses restore enzymatic activity and autophagic flux without affecting cell viability, whereas higher doses impair autophagy and reduce viability.
Ambra Del Grosso+5 more
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Highly efficient cavity-dumped Q-switched Alexandrite laser [PDF]
Unland Stefanie+4 more
doaj +1 more source
LASER OSCILLATION IN THE VISIBLE SPECTRUM OF SINGLY IONIZED PURE BROMINE VAPOR [PDF]
W.M. Keeffe, W.J. Graham
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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
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