Results 121 to 130 of about 14,462,668 (184)

The Clausius-Mossotti Factor in Dielectrophoresis: A Critical Appraisal of Its Proposed Role as an 'Electrophysiology Rosetta Stone'. [PDF]

Micromachines (Basel)
Pethig R.
europepmc   +1 more source

ALERA‐V Version 1.0: An Objective Analysis Dataset of the Venus Atmosphere

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
Using observations from the Venus orbiter Akatsuki, we present the first objective analysis dataset of the Venus atmosphere. ALERA‐V, generated with the ALEDAS‐V system using the LETKF, is expected to support studies of atmospheric dynamics and the planning of future satellite missions.
Yukiko Fujisawa, Shin‐ya Murakami, Norihiko Sugimoto, Nobumasa Komori, Masahiro Takagi, Takeshi Imamura, Takeshi Horinouchi, George L. Hashimoto, Masaki Ishiwatari, Takeshi Enomoto, Takemasa Miyoshi, Hiroki Kashimura, Toshiki Matsushima, Yoshi‐Yuki Hayashi   +13 more
wiley   +1 more source

PERSISTENT SHEAF LAPLACIANS. [PDF]

Found Data Sci
Wei X, Wei GW.
europepmc   +1 more source

Spheres, tears, and spears: Regulating the perimeter and circularity of millimeter‐sized alginate hydrogel beads

AIChE Journal, Volume 72, Issue 6, June 2026.
Abstract Generating hydrogel beads pertains to many engineering applications. We examined two alginate‐based fluids at three concentrations of alginate, cAG. We used the “Map of Misery” to determine which material property (viscosity, elasticity, and inertia) drives droplet formation. Next, we measured the perimeter and circularity of hydrogel beads as
Conor G. Harris, Katherine D. Bandettini, Hannah K. Gedde, Lewis Semprini, Kaitlin C. Fogg, Willie E. Rochefort   +5 more
wiley   +1 more source

LONMF: a non-negative matrix factorization model based on graph Laplacian and optimal transmission for paired single-cell multi-omics data integration. [PDF]

BMC Bioinformatics
Nan M, Ren Q, Fu Y, Chen X, Qi G, Wang L, Gao J.   +6 more
europepmc   +1 more source

Staying Offline or Going Online? Managing the Establishment of Service Platforms

Managerial and Decision Economics, Volume 47, Issue 4, Page 880-897, June 2026.
ABSTRACT We study a global game in which consumers and sellers decide whether to join a service platform and interact more efficiently online. Uncertainties about the platform's technology value and users' participation behavior on both market sides cause a coordination problem.
Marit Holler, Manfred Stadler, Lukas Stickel   +2 more
wiley   +1 more source

Effects and Correction of Patient Bulk Motion in Cranial DENSE MRI

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3145-3160, June 2026.
ABSTRACT Purpose Applications of DENSE to measure cardiac driven brain tissue pulsations are highly sensitive to bulk patient motion due to the sub‐millimeter displacement encoding required, limiting its accuracy, reproducibility, and use in pediatric and aging populations.
Caroline A. Doctor, Leonardo A. Rivera‐Rivera, Laura B. Eisenmenger, Sterling C. Johnson, Kevin M. Johnson   +4 more
wiley   +1 more source

Improved Source Localization of Auditory Evoked Fields using Reciprocal BEM-FMM. [PDF]

Brain Topogr
Drumm DA, Ponasso GN, Linke A, Ganguly S, Wang A, Noetscher GM, Maess B, Knösche TR, Haueisen J, Lewine JD, Abbott CC, Makaroff SN, Deng ZD.   +12 more
europepmc   +1 more source

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning

NMR in Biomedicine, Volume 39, Issue 6, June 2026.
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi, Shashank Sule, Jonathan Palumbo, Michael Rozowski, Griffin S. Hampton, Mustapha Bouhrara, Wojciech Czaja, Richard G. Spencer   +7 more
wiley   +1 more source

Signal extraction in SWAXS data for the compact X-ray light sources: a machine learning approach. [PDF]

Sci Rep
Opperman AK, Huang S, Botha S, Fung R, Golla SN, Schmidt KE, Grant TD, Kirian RA, Hosseinizadeh A.   +8 more
europepmc   +1 more source