Results 41 to 50 of about 18,405 (147)
From Struggling (With) Screening Tests to Mouse Models of Depression‐Relevant Neurobehavioral States
Abstract A major, serendipitous psychiatric discovery is monoamine‐transporter reuptake inhibition as an antidepressant mechanism of action. Chronic treatment with such antidepressants is efficacious, with onset requiring 1‐2 weeks, in many but by no means all patients with major depressive or another stress‐related neuropsychiatric disorder.
Christopher R. Pryce
wiley +1 more source
Abstract Solar superflares of S‐class (>X10 in soft X‐rays) pose extreme space weather hazards, yet their prediction remains a fundamental challenge owing to their rapid and transient natures and the limitations of conventional event‐based forecasts. We introduce for the first time, a probabilistic spatiotemporal framework designed to identify extended
V. M. Velasco Herrera +12 more
wiley +1 more source
Segmentation and Tracking of Eruptive Solar Phenomena With Convolutional Neural Networks
Abstract Solar eruptive events are complex phenomena, which most often include coronal mass ejections (CME), CME‐driven compressive and shock waves, flares, and filament eruptions. CMEs are large eruptions of magnetized plasma from the Sun's outer atmosphere or corona, that propagate outward into the interplanetary space.
Oleg Stepanyuk, Kamen Kozarev
wiley +1 more source
ARCANE–Early Detection of Interplanetary Coronal Mass Ejections
Abstract Interplanetary coronal mass ejections (ICMEs) are major drivers of space weather disturbances, posing risks to both technological infrastructure and human activities. Automatic detection of ICMEs in solar wind in situ data is essential for early warning systems.
Hannah T. Rüdisser +4 more
wiley +1 more source
Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez +2 more
wiley +1 more source
Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz +4 more
wiley +1 more source
A Novel Guide Vane System Design to Mitigate Rotating Vortex Rope in High Head Francis Model Turbine
J. Joy, M. Raisee, M. Cervantes
semanticscholar +1 more source
Optical skipping rope induced transverse OAM for particle orbital motion parallel to the optical axis. [PDF]
Zhu L +5 more
europepmc +1 more source
In hydraulic turbines, several flow instabilities can take place inside the draft tube cone during off-design and transient operating conditions such as the rotating vortex rope which can severely damage the structure if sustained in time.
X. Sánchez-Botello +7 more
semanticscholar +1 more source
Design and Application of Portable Centrifuge Inspired by a Hand-Powered Spinning Top. [PDF]
Tang D +5 more
europepmc +1 more source

