Results 71 to 80 of about 16,663 (196)
Abstract Gravity waves in the upper mesosphere produce diverse spatial patterns in nighttime airglow, but their global morphology has been difficult to characterize because manual identification is impractical for the massive satellite image archive. We developed a machine learning framework to detect and classify gravity wave events in imagery from ...
Yuta Hozumi +6 more
wiley +1 more source
Microscopic analysis of Atacama Desert grit crust revealed a sequential assembly process in which airborne fungal spores of the Caliciaceae colonise quartz particles before encountering compatible Trebouxia photobionts. Free‐living algal cells on grit surfaces function as environmental reservoirs for symbiosis initiation, while multiple wind‐driven ...
Lina Werner, Janina Koziol, Patrick Jung
wiley +1 more source
Abstract Automatic re‐identification of animals has significant potential to address pressing ecological and conservation challenges through improved population monitoring, individual health assessment and detailed behavioural analyses. Although numerous computer‐vision‐based solutions have been proposed and many achieve high accuracy, most remain ...
András Zábó +5 more
wiley +1 more source
While extensive research studies exist on the influence of AI solutions on organizations as a whole, there is a paucity of comprehensive studies examining the adoption of these solutions in product development and subsequent management processes.
Witkowski Aron, Wodecki Andrzej
doaj +1 more source
ABSTRACT Evaluating the benefit–risk profile of a medical product requires comprehensive evidence that integrates information across development stages. Technological advances and broader use of real‐world data are enabling innovative quantitative paradigms characterized by greater efficiency, patient centricity, and sustainability.
Lindsay S. Kehoe +7 more
wiley +1 more source
Digital transformation (DX) is complex with many automated parts, underlying integrations and processes that need to fit all together. Tools to support the management of DX activities are, therefore, crucial for every business.
Nguyen Trung Tuan +2 more
doaj +1 more source
Deep‐Learning: An Emerging Tool to Support Model‐Informed Drug Development
ABSTRACT Traditional Model‐Informed Drug Development (MIDD) primarily relies on hypothesis‐driven (HD) models based on biological, physiological, and physicochemical principles. While these mechanistic models have been instrumental in drug development and regulatory decision‐making, they may be limited in capturing complex nonlinear relationships. Deep
Roberto Gomeni +1 more
wiley +1 more source
In central Ukraine, the migratory butterfly Vanessa cardui emerged as a key pest of organic soybean during its outbreaks in 2019 and 2022. Despite early defoliation, crops recovered strongly due to high parasitism by Cotesia vestalis, reaching 100% in some fields.
Alex Gumovsky +3 more
wiley +1 more source
"We present CCD observations of the galactic globular cluster M15, in the B and V lters. The cluster was reasonably covered, except in its northern region where our observations present a gap. We obtained a Hertzsprung-Russell (HR) diagram for each region observed, and later we produced a combined HR diagram containing more than 3000 stars. We generate
A. Ruelas-Mayorga +3 more
openaire +1 more source
ABSTRACT Background Epilepsy in children presents challenges for families who must navigate the condition itself, along with complex medical information and the emotional realities of daily care. Underpinning a recent randomised control trial (CASTLE Sleep‐E) was the acknowledgement that sleep was a problem that had not been well addressed in other ...
Holly Saron +15 more
wiley +1 more source

