Results 161 to 170 of about 88,259 (271)
Artificial intelligence as team member versus manual screening to conduct systematic reviews in medical sciences. [PDF]
Moens M, Nagels G, Wake N, Goudman L.
europepmc +1 more source
Tōjisha‐Kenkyū on Autism in Japan: Against Epistemic Injustices and Tokenism
ABSTRACT The Japanese mental health system, marked by isolation and restraint, has been challenged by Tōjisha‐Kenkyū, a peer‐led research practice initiated in 2001 by Urakawa Bethel House members. Drawing from disability rights and addiction self‐help movements, it addresses hermeneutical injustice by creating shared language for minority experiences.
Satsuki Ayaya
wiley +1 more source
Intractable Pyopneumothorax due to Lemierre's Syndrome Treated With an Endobronchial Watanabe Spigot (EWS). [PDF]
Sugino M+12 more
europepmc +1 more source
Climate Poetics: Contemporary Ecopoetry and the Remaking of Elegy
ABSTRACT One manifestation of the cascading ecological crises that characterize our current moment is a weakening of any sense of futurity. The implacable escalation of the climate crisis, the amplification of which is already inevitable given the carbon already in the atmosphere, has the effect of eroding any forward‐facing enterprise and ...
Thomas Storey
wiley +1 more source
Dandy's vein decompression for trigeminal neuralgia: A rare venous conflict causing intractable facial pain. [PDF]
Rahman MM+5 more
europepmc +1 more source
ABSTRACT Contemporary ecocriticism and the American Gothic tradition share an investment in the psychic repression of terrors lurking just beyond the articulable. Amitav Ghosh's assertion that the history of fossil fuels is ‘a matter of embarrassment verging on the unspeakable’ and Timothy Morton's conception of ecocatastrophe as ‘an uncanny entity ...
Megan Cole
wiley +1 more source
Primary abdominal manifestations of vagus nerve stimulation: illustrative case. [PDF]
Yaffe NM+3 more
europepmc +1 more source
Robust multi‐coil MRI reconstruction via self‐supervised denoising
Abstract Purpose To examine the effect of incorporating self‐supervised denoising as a pre‐processing step for training deep learning (DL) based reconstruction methods on data corrupted by Gaussian noise. K‐space data employed for training are typically multi‐coil and inherently noisy.
Asad Aali+4 more
wiley +1 more source