Results 11 to 20 of about 66 (64)

Toward an idiographic understanding of the role of sleep‐mood dynamics in adolescents' internalizing symptoms

JCPP Advances, EarlyView.
Abstract Background Adolescence is marked by increased vulnerability to sleep disturbances and mood disorders. Understanding how day‐to‐day changes in sleep and mood are linked within the same individual is crucial for clarifying sleep's role in emerging internalizing disorders. However, the extent to which an adolescent's fluctuations in sleep predict
Konstantin Drexl, Setareh Ranjbar, Sébastien Urben, Kerstin Jessica Plessen, Jennifer Glaus   +4 more
wiley   +1 more source

Amyloid β alters vascular CaV1.2 channel spatiotemporal properties

The Journal of Physiology, EarlyView.
Abstract figure legend Amyloid‐β1‐42 (Aβ1‐42) triggers a male‐specific signalling cascade influencing CaV1.2 spatiotemporal properties in cerebral vascular smooth muscle. The signalling pathway involves NADPH oxidase (NOX)‐derived reactive oxygen species (ROS) activation of protein kinase C (PKC). Aβ1‐42 can also activate protein kinase A (PKA).
Jade L. Taylor, Miguel Martin‐Aragon Baudel, Eric Pereira da Silva, Johannes W. Hell, Madeline Nieves‐Cintron, Manuel F. Navedo   +5 more
wiley   +1 more source

Key Drivers of Soil CO2, CH4, and N2O Fluxes in Conifer and Broadleaf Afforestation Systems in the Southeastern U.S.: A Machine Learning Analysis

Global Change Biology Communications, Volume 1, Issue 3, September 2026.
Soil CO2 and CH4 emissions were higher in broadleaf than conifer afforestation systems in the southeastern U.S., particularly during the growing season. Machine learning analyses identified soil temperature, moisture, and atmospheric conditions as key drivers, emphasizing that soil greenhouse gas responses critically influence the climate mitigation ...
Jianing Liang, Austin Himes, Cade Booth, Troy Bowman, Olivia Buchanan, Gregory Bushey, Grethel Capistran, Sidnee Everhart, Natalie Dearing, Shaik Hossain, Joshua Granger, Samantha Humphrey, Dawn Lemke, Mark McConnell, Adam Polinko, Rebecca Pope, Krishna Poudel, Logan Pruitt, Nasir Qadir, Heidi Renninger, Morné le Roux, Kris Shelby, Jeremy Whigham, Jia Yang, Courtney Siegert   +24 more
wiley   +1 more source

Embodied, Enacted, and Multimodal: Exploring Science Teachers’ Metaphors in Authentic Classroom Contexts

Science Education, Volume 110, Issue 5, Page 1469-1496, September 2026.
ABSTRACT Over the past decades, science education research has extensively examined the role of metaphors in teaching and learning science. However, much of the existing research has focused on verbal manifestations of metaphors, thereby overlooking aspects of metaphors that may occur in non‐verbal form. This study reconceptualises metaphors as dynamic
Magdalena Kersting, Priscila Kohler, Marianne Ødegaard   +2 more
wiley   +1 more source

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, Volume 35, Issue 5, Page 7063-7079, July 2026.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source

Balancing the Risk: Heritability of Leaf Phenology and Frost Resistance in the Dominant Temperate Forest Tree European Beech

Ecology and Evolution, Volume 16, Issue 7, July 2026.
We quantified the heritability of spring and autumn phenology and frost tolerance in European beech using a common‐garden experiment with 961 seedlings from half‐sib families. Spring leaf out and autumn senescence showed moderate heritability, indicating substantial adaptive potential, whereas bud and leaf frost tolerance exhibited low heritability ...
Jonas Schmeddes, Niels Preuk, Ilka Beil, Eike Marie Dittmar, Andrey Malyshev, Annè Lemke, Charlotte Loft, Dennis Quadt, Maximilian Richardt, Tom Woweries, Juergen Kreyling   +10 more
wiley   +1 more source

Fusion protein condensate formation via coiled‐coil domains

Protein Science, Volume 35, Issue 7, July 2026.
Abstract While recent research shows that biomolecular condensates play important roles in normal cellular processes and diseases, the driving forces in condensate formation are not well understood, especially regarding the role of structured self‐associative protein domains.
Om Prakash Narayan, Lu Liu, Kyle Scheller, Carter Humphrey, Jiawei Dong, Juan Guan   +5 more
wiley   +1 more source

Blood Relatives: Linking Evolutionary History and Conservation of Medicinal Leeches (Hirudo spp.)

Evolutionary Applications, Volume 19, Issue 6, June 2026.
ABSTRACT Medicinal leeches of the genus Hirudo are both historically important in medicine and increasingly studied as models in ecology and biomedicine. However, the taxonomy, population structure and evolutionary history of this genus remain partially unresolved.
Gianluca Lombardo, Alessandro Alvaro, Andrea De Benedictis, Marta Cavallini, Milo Manica, Edward C. Netherlands, Laura Pulze, Nicolò Baranzini, Annalisa Grimaldi, Francesco Acquati, Giorgio Binelli   +10 more
wiley   +1 more source

A composition‐matching algorithm, MatchIDR, identifies prion‐like domains that localize to stress granules

Protein Science, Volume 35, Issue 5, May 2026.
Abstract Intrinsically disordered regions (IDRs) play important molecular roles in cells even though they do not adopt a stable structure. Relative to structured regions, IDRs have skewed amino acid compositions favoring polar and charged amino acids. This feature is a major contributor to the biophysical behavior and in vivo activity of IDRs, but the ...
Sean M. Cascarina, Kacy R. Paul, Larissa L. Ford, Eric D. Ross   +3 more
wiley   +1 more source

A Hybrid Bayesian Data Fusion Framework to Enhance Watershed Nitrogen Modeling by Integrating In Situ Observations With Spatial Inversion Data

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Process‐based watershed models require robust, spatially distributed data for accurate total nitrogen (TN) simulation. However, traditional calibrations are often constrained by sparse in situ monitoring networks, resulting in substantial estimation errors and biases, particularly in ungauged sub‐basins. While newly available spatial inversion
Shunping Zhou, Pan Yang, Yuheng Gan, Qian Tan   +3 more
wiley   +1 more source