Results 151 to 160 of about 3,400 (188)

Protein kinase Cδ and pharmacomechanical coupling: Re‐envisioning cerebral vascular control

open access: yesThe Journal of Physiology, Volume 604, Issue 15, Page 6324-6347, 1 August 2026.
Abstract figure legend Top, G‐protein coupled receptors trigger electromechanical and pharmacomechanical coupling, the latter via signal transduction pathways that inhibit myosin light chain phosphatase. Middle, the relative contribution of electromechanical and pharmacomechanical coupling varies with the concentration and the vessel area to which ...
Nadia Haghbin   +10 more
wiley   +1 more source

Powering Ganymede's dynamo with protracted core formation. [PDF]

open access: yesSci Adv
Trinh KT   +3 more
europepmc   +1 more source

Calcium Solubility of Bridgmanite in Subducted Basalt in Earth's Lower Mantle

open access: yesGeophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract The calcium solubility in bridgmanite and the resulting abundance of davemaoite under lower‐mantle pressure‐temperature conditions have been under debate following a recent report of extensive calcium dissolution in bridgmanite. We experimentally investigated the calcium solubility in bridgmanite in a basaltic composition at pressures up to ...
Chengwei Zhang   +7 more
wiley   +1 more source

A user-friendly online tool for paleocoordinate calculation and 3D visualization. [PDF]

open access: yesSci Rep
Scholz-Murcia N   +3 more
europepmc   +1 more source

Light Element Exsolution in Fe‐Si‐C‐(H) System: A Mechanism for Powering Mercury's Early Core Dynamo

open access: yesGeophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract Mercury is one of the few terrestrial planets in the solar system with a magnetic field, yet the energy source to power its core dynamo remains unclear to date. Si, C, and possibly H are the top candidate light elements for its liquid core. Here, we showed experimentally that Si, C, and H in Fe‐Si‐C and Fe‐Si‐C‐H liquids share a simultaneous ...
Yuanjing Li   +5 more
wiley   +1 more source

Forecasting secular variation using physics-informed neural networks for IGRF-14. [PDF]

open access: yesEarth Planets Space
Shakespeare-Rees N   +6 more
europepmc   +1 more source

Paleosecular Variation Constraints on Geomagnetic Field Morphology at ca. 1100 Ma

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Paleosecular variation provides a statistical test of long‐term geomagnetic field morphology, but its behavior across Precambrian polarity regimes remains poorly constrained. We compile a virtual geomagnetic pole dispersion data set spanning 1130–1070 Ma and apply nonlinear Model G fitting to evaluate field structure across the interval ...
Hanqing Zhao   +7 more
wiley   +1 more source

Magma Pathways Beneath the Klyuchevskoy Volcanic Group, Kamchatka, Revealed by a Machine‐Learning‐Based Earthquake Catalog

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Klyuchevskoy Volcanic Group (KVG) is one of the world's largest clusters of subduction‐zone volcanoes and hosts a complex trans‐crustal magmatic system. Using a machine‐learning–based detection workflow applied to data from the KISS seismic experiment in 2015–2016, we obtained an enhanced earthquake catalog for KVG volcano‐magmatic activity ...
Weifan Lu   +2 more
wiley   +1 more source

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