Results 201 to 210 of about 141,115 (293)

Mitochondrial control of ciliary gene expression and structure in striatal neurons

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Neurons drive animal behaviour by receiving and transmitting information and require energy, primarily supplied by mitochondria, to function. Additionally, neurons need to sense environmental changes to adapt, a function that is locally played by the primary cilia.
Dogukan H. Ulgen   +5 more
wiley   +1 more source

Fossil Hegemony and Capitalist Realism in Tropic of Orange

open access: yesFuture Humanities, Volume 4, Issue 1, May 2026.
ABSTRACT This article examines Karen Tei Yamashita's Tropic of Orange (1997) through the lens of Mark Fisher's influential concept ‘capitalist realism’. Scholars of petrofiction have pointed to a political ambivalence in the representation of fossil fuels, where a better understanding of fossil capital can overwhelm as much as galvanize.
Claire Ravenscroft
wiley   +1 more source

High populations near fossil fuel energy infrastructure across the supply chain and implications for an equitable energy transition. [PDF]

open access: yesEnviron Res Lett
Buonocore JJ   +7 more
europepmc   +1 more source

Geographical and Seasonal Distribution of Australian Pygmy Right Whales (Caperea marginata) Based on Passive Acoustics

open access: yesMarine Mammal Science, Volume 42, Issue 2, April 2026.
ABSTRACT The pygmy right whale (Caperea marginata) is one of the least studied mysticete species. To shed light on its geographic and seasonal distribution, we compiled archival acoustic recordings from 26 sites across southern Australia and developed a deep‐learning detector for pygmy right whale “doublet” vocalizations.
Paul Nguyen Hong Duc   +11 more
wiley   +1 more source

Learning hydrocracking reaction dynamics via neural ODEs: A data‐driven, gradient‐interpretable lumped modelling framework

open access: yesThe Canadian Journal of Chemical Engineering, Volume 104, Issue 3, Page 1372-1386, March 2026.
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta   +2 more
wiley   +1 more source

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