Results 291 to 300 of about 541,916 (384)

Megahertz Rate Optical Diagnostics of Explosively Generated Soot

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT Detonation of a solid explosive produces a turbulent and luminous post‐detonation fireball containing condensed carbon soot. Diagnostics of soot dynamics are needed for model validation and to interpret emission signals. Diffuse back‐illumination extinction imaging (DBI‐EI) and laser‐induced incandescence (LII) are two common optical ...
Kevin Wan   +11 more
wiley   +1 more source

Impact of Mechanistic Modeling and Simulation Methodologies on Product‐Specific Guidance Development for Non‐Orally Administered Drug Products

open access: yesCPT: Pharmacometrics &Systems Pharmacology, EarlyView.
ABSTRACT The U.S. Food and Drug Administration (FDA) publishes product‐specific guidances (PSGs), with bioequivalence (BE) recommendations for prospective generics. Developing BE recommendations for non‐orally administered drug products including long‐acting injectables (LAI), orally inhaled drug products, and drugs applied locally to the skin ...
Steven G. Chopski   +6 more
wiley   +1 more source

Investigating the Potential of Curcumin in the Treatment of Nonsmall Cell Lung Cancer: A Systematic Review With Meta‐Analysis, Network Pharmacology, and Mendelian Randomization

open access: yesPhytotherapy Research, EarlyView.
ABSTRACT To evaluate the efficacy and explore the potential mechanism of curcumin for the treatment and prevention of NSCLC. We searched six databases thoroughly for articles published before December 2024. Stata 15.0 software was applied for systematic review with meta‐analysis.
Yonglu Guo   +3 more
wiley   +1 more source

CAE Design and CFD Post-Processing by FIELDVIEW

open access: bronze, 2000
Shigeki Maeda   +2 more
openalex   +2 more sources

Evaluating machine‐learning models for wind‐speed downscaling from ECMWF‐IFS data

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We benchmark recent machine‐learning methods for downscaling wind speeds from a low‐resolution 9‐km model input to 1‐km predictions. We include recent super‐resolution approaches and transformer‐based architectures and propose Windflow‐SRnet. The models are trained with input data from the ECMWF‐IFS numerical weather model to predict label data from ...
William Ericson   +5 more
wiley   +1 more source

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