Results 171 to 180 of about 301 (217)

Effects of Elevated CO2 on Bean Pod Mottle Virus Infection in Both Incompatible and Compatible Interactions With Phaseolus vulgaris L

Plant, Cell &Environment, Volume 49, Issue 7, Page 4493-4512, July 2026.
ABSTRACT Plant viruses cause significant crop losses, a situation that could worsen due to anthropogenic activities driving global climate change, one factor of which is the increase in atmospheric CO2 concentration. This study assessed the impact of elevated CO2 concentration (eCO2, 1000 vs. 400 ppm) on two genotypes of common bean (Phaseolus vulgaris
Tiffanie Scandolera, Julie Lintz, Ariane Gratias, Ellea Aboud, Simon Rochoux, Maria V. Préjean, Gilles Chatel Innocenti, Marie Garmier, Gianluca Teano, Juan C. Alvarez‐Diaz, Graham Noctor, Valérie Geffroy, Stéphanie Pflieger   +12 more
wiley   +1 more source

Large Eddy Simulations of the Atmospheric Boundary Layer Over Satellite‐Sensed Sea Ice Maps

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 11, 16 June 2026.
Abstract Surface heterogeneity in the marginal ice zone (MIZ) causes multiscale secondary atmospheric circulations that are challenging to model or observe. The absence or inadequate representation of these circulations in ocean‐atmosphere exchange schemes in climate models is partially responsible for the underestimation of Arctic sea ice loss ...
Joseph Fogarty, Mitchell Bushuk, Marc Calaf, Mohammad Allouche, Khaled Ghannam, Elie Bou‐Zeid   +5 more
wiley   +1 more source

Revealing Coastal Storm‐Wave Transformations From SWOT HR Observation: The English Channel Case Study

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Swell propagation and transformation across variable bathymetry and coastal obstacles fundamentally control nearshore wave energy redistribution, sediment transport, and shoreline evolution. Conventional satellite altimetry cannot adequately resolve these dynamics, particularly refraction and diffraction as swell transition into shallow waters.
Md Saiful Islam, Emma Imen Turki, Carlos Lopez Solano, Laurent Froideval, Xavier Chartrand, Pascal Matte, Erwin W. J. Bergsma, Benoit Laignel, Nicolas Picot   +8 more
wiley   +1 more source

Contrasting Improvements in Storm‐Track Activity Over the North Atlantic and North Pacific in Global Storm‐Resolving Models: A Case Study in the Winter of 2020

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Storm‐resolving models have the potential to outperform conventional models with a horizontal resolution of 150 km in simulating global atmospheric circulation by resolving deep convection and gravity waves. Recent studies have suggested that the long‐standing “too zonal and too equatorward” storm‐track bias in climate models can be mitigated ...
R. Masunaga, C. Kodama, S. Okajima, A. Yamazaki, T. Miyakawa   +4 more
wiley   +1 more source

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

Advanced Engineering Materials, Volume 28, Issue 11, 3 June 2026.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai, Xinrui Sarah Niu, Zhao Qin   +2 more
wiley   +1 more source

FMDNet: Spatial‐frequency feature routing for low‐dose CT denoising

Journal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.
Abstract Background Low‐dose computed tomography (LDCT) is widely used to reduce radiation exposure, but the reduced photon budget amplifies quantum noise and can introduce structured artifacts that obscure subtle boundaries and textures. Many deep learning denoisers process features in a single stream, which may encourage either over‐smoothing of weak
Yujie Yao, Yunsen Liang, Wen Xiao, Zibo Zhou, Yaoxue Xu, Yonghao Pan, Xiao Xia   +6 more
wiley   +1 more source

Passive Shape‐Adaptive Fluidic Interface for Enhanced Skin‐Sensor Coupling in Wearable Devices

Advanced Materials Technologies, Volume 11, Issue 11, 5 June 2026.
This study presents a passive fluidic interface for wearable biosensors that adapts to static and dynamic body shape changes to maintain consistent skin contact. Flexible, fluid‐filled pouches redistribute pressure from high‐load areas to regions requiring improved contact, enhancing signal quality and comfort in a compact, low‐energy design for ...
Natalia Sanchez‐Tamayo, Andrew Akerson, Ehsan Hajiesmaili, Tianshu Liu, Ryan Stull, Jonathan Stewart, Amirhossein Amini   +6 more
wiley   +1 more source

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

Advanced Science, Volume 13, Issue 32, 9 June 2026.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian   +3 more
wiley   +1 more source

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Mechanical force redistribution floor tiles

CHI '14 Extended Abstracts on Human Factors in Computing Systems, 2014
We present Mechanical Force Redistribution (MFR) Floor Tiles: a method of sensing which creates a seamless, anti-aliased image of forces applied to a floor. This technique mechanically focuses the force from a surface onto adjacent discrete forcels (force sensing cells) by way of protrusions (small bumps or pegs), allowing for high-accuracy ...
Alex M. Grau, Charles Hendee, Arti S. Karkar, Huapeng Su, Michael Cole, Ken Perlin   +5 more
openaire   +1 more source

Complexity function and forcing in the 2D quasi-periodic Rauzy tiling

Crystallography Reports, 2007
The quantitative characteristics of the long-range translational order in the 2D quasi-periodic Rauzy tiling (complexity function and forcing depth) have been investigated. It is proved that the complexity function c(n) is equal to the number of figures in the n-corona grown from a seed composed of three figures of different types.
V. G. Zhuravlev, A. V. Maleev
openaire   +1 more source