Results 111 to 120 of about 3,846 (196)

Lunar Dayside Surface Potentials in the Terrestrial Magnetotail Inferred From Comparing Observed and Modeled Photoelectrons

Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract As an airless body, the lunar surface is charged as a result of balancing electric currents into and away from the surface. Lunar surface charging is important for both scientific and human‐exploration purposes. The nightside surface charging has been well characterized by previous studies, but less so for the dayside.
Shaosui Xu, Andrew R. Poppe, Yuki Harada, Phillip C. Chamberlin   +3 more
wiley   +1 more source

Risk assessment of civil aviation cabin safety incidents based on the CNN-LSTM-Attention model. [PDF]

PLoS One
Zhou L, Wang X, Jiang W, Zhang P.
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 4079-4100, August 2026.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Development of a competency framework for airport emergency medical personnel: a Delphi and analytic hierarchy process study. [PDF]

BMC Med Educ
Huang C, Yu L, Deng K, Chen X, Tang N, Liu J, Ye X.   +6 more
europepmc   +1 more source

Altered Evening Aperiodic Activity and Microstate Dynamics in Insomnia Disorder: An OPM MEG Study

CNS Neuroscience &Therapeutics, Volume 32, Issue 8, August 2026.
Using wearable OPM‐MEG, this study characterized evening and morning resting state neurophysiology in insomnia disorder. A flatter evening aperiodic spectral exponent suggested relatively elevated cortical excitability, alongside altered microstate dynamics involving putative limbic and sensorimotor network states.
Feng Cui, Kejia Hu, Hui Zeng, Yang Wang, Xi Wang, Haiting Liu, Tangfen Wang, Yan Chang, Xiaodong Yang, Tao Hu, Tianxiao Shen, Jianbing Zhu, Jian Zheng, Donghua Pan   +13 more
wiley   +1 more source

From Aeromedical Evacuation to Planetary Habitation: A PubMed-Based Historical Mapping Review of Aerospace Nursing (1946-2025). [PDF]

Nurs Inq
Kubota K, Tsuda S, Kubota A.
europepmc   +1 more source

Making Sense of the Bioeconomy: A Critical Analysis of EU Policy Narratives and Responses

Environmental Policy and Governance, Volume 36, Issue 4, Page 1049-1064, August 2026.
ABSTRACT The bioeconomy has become an increasingly popular concept in European Union (EU) policy, promising sustainable growth, job creation, and reduced environmental impacts. Yet its meaning remains contested, ambiguous, and politically charged. This study critically examines how EU bioeconomy policy narratives prior to 2025 construct this concept ...
Elena Zepharovich, Zora Kovacic, Thomas Völker, Paloma Yáñez‐Serrano, Ângela Guimarães Pereira   +4 more
wiley   +1 more source

LINA's testing infrastructure enables AI to take-off in unmanned aerial vehicles (UAVs). [PDF]

Front Robot AI
Bolck HA, Vollenweider J, Merkli F, Barden A, Jajcay M, Trempeck P, Rafailović B, Fraefel R, Lenhart PM, Chavarriaga R, Renold M, Bogojeska J, Stadelmann T, Guillaume M.   +13 more
europepmc   +1 more source

DNA barcoding for identification of species involved in wildlife strikes at Brazilian airports

The Journal of Wildlife Management, Volume 90, Issue 6, August 2026.
A collaborative network of 42 Brazilian airports applied DNA barcoding to identify 80 species involved in wildlife strikes. Among them, 32 species (17 birds and 15 bats) were not currently available in Brazil's wildlife strike reporting database, underscoring the value of molecular tools for strengthening wildlife strike monitoring. Abstract This study
Andre Akira Gonzaga Yoshikawa, Bernardo Perin Cima, Iara Carolini Pinheiro, Isabelle Louise Pimenta‐Blight, Fernando Seabra, Carmen Elena Barragán‐Ruiz, Dalmo Almeida de Azevedo, Mariana Pires de Campos Telles, Raquel Nascimento Rocha, Karla Andréa Rodrigues dos Santos, Wellington Longuini Repette, José Pedro Francisconi Junior   +11 more
wiley   +1 more source

Sensory processing sensitivity predicts pilot decision time via indecisiveness: evidence from flight simulation and fNIRS. [PDF]

BMC Psychol
Zhou K, Zhang Y, Lei Y, Li J, Tang H.
europepmc   +1 more source