Results 101 to 110 of about 8,470 (207)

Unveiling sleep disturbances in KCNB1‐related disorders: Insights from a cohort of 78 individuals

Epilepsia Open, Volume 11, Issue 4, Page 1159-1170, August 2026.
Abstract Objectives Sleep disturbances are frequent comorbidities in epilepsies and developmental encephalopathies. This study aimed to characterize sleep abnormalities in individuals with KCNB1‐related disorders, focusing on their prevalence, clinical manifestations, and impact on daily functioning.
Giovanna Scorrano, Delphine Breuillard, Anais Thimon, Nicole Chemaly, Rima Nabbout   +4 more
wiley   +1 more source

CAE

Seikei-Kakou, 2010
openaire   +4 more sources

Instrumental Reminiscence and Coping Strategies in Older Adults Exposed to Armed Conflict in Colombia

Stress and Health, Volume 42, Issue 4, August 2026.
ABSTRACT Older adults exposed to prolonged sociopolitical violence often experience chronic stress that may undermine adaptive coping processes. Instrumental reminiscence, which focuses on recalling past experiences of successfully managing adversity, has been proposed as a strategy potentially associated with greater coping flexibility in later life ...
Juan C. Meléndez, Tatiana Navarro, Jesus González‐Moreno, Maria Fernanda Reyes, Encarnacion Satorres, Iraida Delhom   +5 more
wiley   +1 more source

CAE

Seikei-Kakou, 2011
openaire   +2 more sources

Molecular investigation of the phylogenetic placement of Kartalinia and a revision of Bituminaria (Fabaceae: Psoraleeae)

TAXON, Volume 75, Issue 4, August 2026.
Abstract The genus Kartalinia was described to accommodate a single, obscure species, Psoralea acaulis, based on its unique morphology and karyology. No concerted molecular phylogenetic studies were available for this species at the time, and therefore its phylogenetic position was uncertain.
Brian Du Preez, Salvatore Brullo, Charles H. Stirton, Salvatore Cambria, A. Muthama Muasya   +4 more
wiley   +1 more source

CAE

Seikei-Kakou, 2019
openaire   +4 more sources

CAE

Seikei-Kakou, 1999
openaire   +2 more sources

CAE

Seikei-Kakou, 2012
openaire   +2 more sources

Using a large language model artificial intelligence agent to improve the efficiency of clinical quality measure evidence evaluation: a case study. [PDF]

BMJ Health Care Inform
Geppert J, Jones B, Bellay J, Bryan G.
europepmc   +1 more source

CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas, Paolo Giani, Paola Crippa, Stefano Castruccio   +3 more
wiley   +1 more source