Results 161 to 170 of about 88,259 (271)

Tōjisha‐Kenkyū on Autism in Japan: Against Epistemic Injustices and Tokenism

open access: yesJournal of Social Issues, Volume 81, Issue 4, December 2025.
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]

open access: yesRespirol Case Rep
Sugino M   +12 more
europepmc   +1 more source

Climate Poetics: Contemporary Ecopoetry and the Remaking of Elegy

open access: yesFuture Humanities, Volume 3, Issue 2, November 2025.
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

The Climate ‘Unspeakable’: Representing Eco‐Horror in Edgar Allan Poe's Narrative of Arthur Gordon Pym of Nantucket

open access: yesFuture Humanities, Volume 3, Issue 2, November 2025.
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

Robust multi‐coil MRI reconstruction via self‐supervised denoising

open access: yesMagnetic Resonance in Medicine, Volume 94, Issue 5, Page 1859-1877, November 2025.
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

Home - About - Disclaimer - Privacy