Results 51 to 60 of about 9,992 (233)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

3D evolution of a filament disappearance event observed by STEREO

, 2009
A filament disappearance event was observed on 22 May 2008 during our recent campaign JOP 178. The filament, situated in the southern hemisphere, showed sinistral chirality consistent with the hemispheric rule.
A. López Ariste, A.A. Ballegooijen van, A.A. Pevtsov, B. Schmieder, B. Schmieder, B. Schmieder, B. Schmieder, B. Schmieder, B.T. Welsch, C.J. Schrijver, F. Auchère, G. Artzner, G. Aulanier, G. Aulanier, G.A. Gary, H. Isobe, J. Dudík, J.B. Zirker, M.A. Raadu, M.A. Raadu, M.L. Kaiser, P. Mein, P. Mein, P. Venkatakrishnan, P.A. Isenberg, P.C. Liewer, P.F. Chen, R. Chandra, S. Gosain, S.F. Gissot, S.F. Martin, T. Roudier, T. Török, T.E. Berger, T.G. Forbes, V. Bommier, V. Bommier, V. Bommier, V. Joshi, W.T. Thompson, Y. Lin, Y.-M. Wang   +41 more
core   +2 more sources

Formation of Rotating Vortex Rope in the Francis-99 Draft Tube

IOP Conference Series: Earth and Environmental Science, 2019
The aim of this research is to understand the mechanism(s) of RVR formation duringthe changes in operating condition from the Best Efficiency Point (BEP) to Part Load (PL).
N Sotoudeh, R Maddahian, M J Cervantes
openaire   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Hydraulic Performance of a Francis Turbine with a Variable Draft Tube Guide Vane System to Mitigate Pressure Pulsations

Energies, 2022
The present paper demonstrates a proof-of-concept by introducing a variable guide vane system in the draft tube of a high-head Francis model turbine. The aim is to examine the hydraulic performance of the turbine while mitigating the pressure pulsations ...
Jesline Joy, Mehrdad Raisee, Michel J. Cervantes   +2 more
doaj   +1 more source

Fast Magnetic Twister and Plasma Perturbations in a 3-D Coronal Arcade

, 2014
We present results of 3-D numerical simulations of a fast magnetic twister excited above a foot-point of the potential solar coronal arcade that is embedded in the solar atmosphere with the initial VAL-IIIC temperature profile, which is smoothly extended
Murawski, K., Musielak, Z. E., Srivastava, A. K.   +2 more
core   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Formation of a Double-decker Magnetic Flux Rope in the Sigmoidal Solar Active Region 11520

, 2014
In this paper, we address the formation of a magnetic flux rope (MFR) that erupted on 2012 July 12 and caused a strong geomagnetic storm event on July 15.
Cheng, X., Deng, Y. Y., Ding, M. D., Guo, Y., Kliem, B., Sun, X. D., Wang, Y. M., Zhang, J.   +7 more
core   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source