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Deriving Gridded Soil Moisture Estimates Using Earth Observation Data and a Process Informed Statistical Machine Learning Approach

open access: yesMeteorological Applications, Volume 33, Issue 1, January/February 2026.
A process‐informed machine learning approach, which included dynamic and static earth observation data and trained on in situ data from the United Kingdom, was capable of reproducing measured in situ values from locations not included in the model training. The model was then employed to derive daily, gridded estimates of soil moisture for Ireland. The
Rowan Fealy   +4 more
wiley   +1 more source

Holocene Glacial–Paraglacial–Periglacial Transitions of a Sub‐Arctic Glacial Cirque, Fremri‐Grasárdalur, Northern Iceland

open access: yesPermafrost and Periglacial Processes, Volume 37, Issue 1, Page 78-106, January/March 2026.
ABSTRACT The aim of this work is to study a variety of glacial, periglacial and paraglacial features found in a small cirque, Fremri‐Grasárdalur, in Tröllaskagi (Northern Iceland). We implement a multidisciplinary approach combining high‐resolution geomorphological mapping, horizontal/vertical boulder displacement (from 1994 to 2019) and surface ...
Javier Santos‐González   +13 more
wiley   +1 more source

Inference of the Local Interstellar Spectra of Cosmic-Ray Nuclei Z ⩽ 28 with the GalProp-HelMod Framework. [PDF]

open access: yesAstrophys J Suppl Ser, 2020
Boschini MJ   +13 more
europepmc   +1 more source

Disordered N‐termini enhance the thermostability of SGNH‐hydrolase family polyesterases

open access: yesProtein Science, Volume 35, Issue 1, January 2026.
Abstract Polyesters are widely used plastics that persist in the environment due to their resistance to degradation. Microbial polyesterases potentially offer recycling and remediation solutions. However, most polyesterases lack the thermostability and catalytic efficiency required for practical application.
F. Hafna Ahmed   +7 more
wiley   +1 more source

SERSµDrop: A Platform to Study Cell–Cell Communication via SERS Imaging

open access: yesSmall, Volume 22, Issue 1, 2 January 2026.
SERSµDrop is a microdroplet‐based optofluidic platform that enables real‐time, multiplexed surface‐enhanced Raman spectroscopy (SERS) imaging of small extracellular vesicle‐mediated communication between individual breast cancer and stromal cells. By combining extracellular vesicles labeled with SERS tags, microdroplet confinement, and multivariate ...
Paula Piñeiro   +6 more
wiley   +1 more source

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