Results 81 to 90 of about 84,860 (301)

Weakening of the stratospheric polar vortex by Arctic sea-ice loss [PDF]

open access: yes
Successive cold winters of severely low temperatures in recent years have had critical social and economic impacts on the mid-latitude continents in the Northern Hemisphere.
Jeong, JH   +7 more
core   +1 more source

The Stability of Mars’s Annular Polar Vortex

open access: yesJournal of the Atmospheric Sciences, 2017
Abstract The Martian polar atmosphere is known to have a persistent local minimum in potential vorticity (PV) near the winter pole, with a region of high PV encircling it. This finding is surprising, since an isolated band of PV is barotropically unstable, a result going back to Rayleigh.
Seviour, William J.M.   +2 more
openaire   +4 more sources

Impact of Sustainable Binders Based on Lignin and Collagen on the Volume Stability and Mechanical Properties of MgO‐C Refractories with MgO‐C Recyclates

open access: yesAdvanced Engineering Materials, EarlyView.
Collagen hydrolysate is evaluated as a sustainable binder for MgO‐C refractories. Its thermally induced cross‐linking and gas release lead to expansion and cracking in large bricks, but tailored batches with lignin, recyclates, or fine graphite improve the gas release while thermal treatment and stability.
Till M. J. Stadtmüller   +8 more
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix

open access: yesAdvanced Functional Materials, EarlyView.
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt   +2 more
wiley   +1 more source

Stratospheric influence on the winter North Atlantic storm track in subseasonal reforecasts [PDF]

open access: yesWeather and Climate Dynamics
Extreme stratospheric polar vortex events, such as sudden stratospheric warmings (SSWs) or extremely strong polar vortex events, can have a significant impact on surface weather in winter.
H. Afargan-Gerstman   +5 more
doaj   +1 more source

Report on the method for determining the location of the polar vortex boundary region [PDF]

open access: yes, 2003
To determine the boundary region of the polar vortex objectively using the PV distribution on isentropic surfaces, the equivalent latitude(Eql) of the polar vortex boundary was calculated using a slightly modified form of the technique of E.R. Nash et al.
Kazuhiko Nagata   +6 more
core   +1 more source

Observation of wall-vortex composite defects in a spinor Bose-Einstein condensate [PDF]

open access: yes, 2019
We report the observation of spin domain walls bounded by half-quantum vortices (HQVs) in a spin-1 Bose-Einstein condensate with antiferromagnetic interactions.
Kang, Seji   +3 more
core   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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