Results 91 to 100 of about 405 (198)

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring. [PDF]

Sensors (Basel), 2023
Hassani S, Dackermann U.
europepmc   +1 more source

Bioconversion of carotenoids into high‐value crocins using a marine sponge carotenoid cleavage dioxygenase

New Phytologist, Volume 250, Issue 5, Page 3230-3246, June 2026.
Summary Carotenoids and apocarotenoids are widespread specialized metabolites, yet animals, including sponges, lack the ability to synthesize carotenoids de novo and must obtain them from dietary or microbial sources. The roles of carotenoid cleavage dioxygenases (CCDs) in marine animals remain largely unexplored. A CCD from the marine sponge Suberites
Elena Moreno‐Giménez, Lucía Morote, Alberto José López Jiménez, Eduardo Parreño, Jian You Wang, Matteo Nava, Carolina Aguado, Rafael Luján, Salim Al‐Babili, Gianfranco Diretto, Oussama Ahrazem, Lourdes Gómez‐Gómez   +11 more
wiley   +1 more source

Sonic Boom Modeling Technical Challenge

, 2007
This viewgraph presentation reviews the technical challenges in modeling sonic booms. The goal of this program is to develop knowledge, capabilities and technologies to enable overland supersonic flight.
Sullivan, Brenda M.
core  

Multidisciplinary Design Optimization for Sonic Boom Mitigation

, 2009
Automated, parallelized, time-efficient surface definition and grid generation and flow simulation methods are developed for sharp and accurate sonic boom signal computation in three dimensions in the near and mid-field of an aircraft using Euler/Full ...
Ozcer, Isik A.
core   +1 more source

Hydrogen Gas Enhances Salinity Tolerance in Tomato Seedlings by Regulating the S‐Nitrosylation of MEK1

Plant Biotechnology Journal, Volume 24, Issue 6, Page 3656-3678, June 2026.
ABSTRACT Hydrogen gas (H2) effectively alleviates abiotic stress in horticultural plants. Protein S‐nitrosylation, a key post‐translational modification, serves as a critical mechanism for nitric oxide (NO) to exert its biological function under adverse conditions.
Hua Fang, Xuetong Wu, Dengjing Huang, Xinfang Chen, Zhiya Liu, Xuejuan Pan, Huan Chen, Dandan Zheng, Caicai Ma, Xuemei Hou, Shuya Wang, Chunlei Wang, Weibiao Liao   +12 more
wiley   +1 more source

Application of Exactly Linearized Error Transport Equations to Sonic Boom Prediction Workshop. [PDF]

J Aircr, 2019
Derlaga JM, Park MA, Rallabhandi SK.
europepmc   +1 more source

In situ recording of Mars soundscape. [PDF]

Nature, 2022
Maurice S, Chide B, Murdoch N, Lorenz RD, Mimoun D, Wiens RC, Stott A, Jacob X, Bertrand T, Montmessin F, Lanza NL, Alvarez-Llamas C, Angel SM, Aung M, Balaram J, Beyssac O, Cousin A, Delory G, Forni O, Fouchet T, Gasnault O, Grip H, Hecht M, Hoffman J, Laserna J, Lasue J, Maki J, McClean J, Meslin PY, Le Mouélic S, Munguira A, Newman CE, Rodríguez Manfredi JA, Moros J, Ollila A, Pilleri P, Schröder S, de la Torre Juárez M, Tzanetos T, Stack KM, Farley K, Williford K, SuperCam team.   +42 more
europepmc   +1 more source

LAVA Simulations for the AIAA Sonic Boom Prediction Workshop

, 2014
Computational simulations using the Launch Ascent and Vehicle Aerodynamics (LAVA) framework are presented for the First AIAA Sonic Boom Prediction Workshop test cases.
Moini-Yekta , Shayan, Kiris, Cetin C., Sozer, Emre, Housman, Jeffrey A.   +3 more
core  

DLR Simulations of the First AIAA Sonic Boom Prediction Workshop Cases

, 2017
The prediction of the sonic boom signature plays an important role in the development of a supersonic transport aircraft. In this paper geometries and grids provided by the First AIAA Sonic Boom Prediction Workshop are used to develop a best practice for
Rudnik, Ralf, Jochen Kirz, Ralf Rudnik, Kirz, Jochen   +3 more
core   +1 more source

Aircraft Noise Generation and Assessment Section 5-Overall Vehicle System Noise, Part d-Sonic Boom. [PDF]

CEAS Aeronaut J, 2019
Page JA, Loubeau A.
europepmc   +1 more source