Results 321 to 330 of about 7,531,616 (402)

Assessing the Powder Bed Fusion–Laser Beam Potential of Glass‐Forming Alloys Using Single and Multitrack Laser Glazing Experiments

Advanced Engineering Materials, EarlyView.
Characterizations of the expanse of processes parameter combinations that can be used to minimize cracking and porosity while optimizing crystallization and hardness are used to assess laser processing of four glass‐forming alloys. The set of viable alloys for laser additive manufacturing is not the same as for suction casting; some alloys are common ...
Soumya Mohan, Harrison Holberton, Aaron P. Stebner, Douglas C. Hofmann   +3 more
wiley   +1 more source

AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol. [PDF]

BMJ Open
Khan F, Das I, Kotnik M, Wing L, Van Beek E, Murchison J, Ahn JS, Lee SH, Seth A, Espinosa Morgado AT, Fu H, Novak A, Salik N, Campbell A, Shah R, Gleeson F, Ather S.   +16 more
europepmc   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced 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

Performance Evaluation of GPT-4o and o1-Preview Using the Certification Examination for the Japanese 'Operations Chief of Radiography With X-rays'. [PDF]

Cureus
Goto H, Shiraishi Y, Okada S.
europepmc   +1 more source

Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel

Advanced Engineering Materials, EarlyView.
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker, Felix Radtke, Jonathan Lentz, Santiago Benito, Christoph Broeckmann, Sebastian Weber   +5 more
wiley   +1 more source

Deep learning in Cobb angle automated measurement on X-rays: a systematic review and meta-analysis. [PDF]

Spine Deform
Zhu Y, Yin X, Chen Z, Zhang H, Xu K, Zhang J, Wu N.   +6 more
europepmc   +1 more source

Nanoparticle‐Coated X2CrNiMo17‐12‐2 Powder for Additive Manufacturing – Part I: Surface, Flowability, and Optical Properties of SiC, Si, and Si3N4 Coated Metal Powders

Advanced Engineering Materials, EarlyView.
Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke, Nick Hantke, Harald Zetzener, Jan T. Sehrt, Arno Kwade   +4 more
wiley   +1 more source

Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodules. [PDF]

PLoS One
Hanaoka S, Nomura Y, Hayashi N, Sato I, Miki S, Yoshikawa T, Shibata H, Nakao T, Takenaga T, Koyama H, Cho S, Kanemaru N, Fujimoto K, Sakamoto N, Nishiyama T, Matsuzaki H, Yamamichi N, Abe O.   +17 more
europepmc   +1 more source

Improved Mechanical Performance of Epoxy Systems with Low Loadings of Milled Carbon Fiber via Chemical Surface Modification

Advanced Engineering Materials, EarlyView.
The authors explore thermally initiated diazonium chemical surface modification as a means of improving the mechanical performance of milled carbon fibers in epoxy matrix systems at varying loadings by weight. They report significant improvements at <1% w/w loading through examination of flexural and tensile strength and modulus.
Ben Newman, Filip Stojcevski, Karyn L. Jarvis, Piers Coia, Luke C. Henderson   +4 more
wiley   +1 more source

Leveraging compact convolutional transformers for enhanced COVID-19 detection in chest X-rays: a grad-CAM visualization approach. [PDF]

Front Big Data
V AC, B SK, Pradeep S, Suraksha P, Lin M.   +4 more
europepmc   +1 more source