Results 121 to 130 of about 4,299 (231)

Harmonized Annual Averaged Traffic Data at Street Segment Level for European Cities. [PDF]

Sci Data
Bonnemaizon X, Ciais P, Zhou C, Shi Q, Mittakola RT, Goldmann C, Ben Arous S, Megel N, Davis SJ.   +8 more
europepmc   +1 more source

Mathematical Modeling in Action: Design Principles for Mathematical Modeling Days

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Mathematical modeling is fundamental for numerous scientific and technical disciplines. CAMMP has taken on the challenge of providing high school students, university students, and teachers with authentic insights into modern, computer‐aided modeling practices.
Stephanie Hofmann, Katharina Bata, Sarah Schönbrodt, Stephan Kindler, Martin Frank, Clara Müller, Jakim Eckert, Jasmin Hörter, Christina Büsing, Benjamin Stamm   +9 more
wiley   +1 more source

Implementing a training resource for large-scale genomic data analysis in the All of Us Researcher Workbench. [PDF]

Am J Hum Genet
Baker J, Stricker E, Coleman J, Ketkar S, Tan T, Butler AM, Williams L, Hammonds-Odie L, Murray D, Lee B, Worley KC, Atkinson EG.   +11 more
europepmc   +1 more source

Data‐Driven Design of Co‐Continuous Morphology in PS/PMMA Two‐Phase Polymer Blends: A Theoretical, Experimental, and Machine Learning Approach

Polymer Engineering &Science, Volume 66, Issue 6, Page 4295-4306, June 2026.
This study uses an integrated methodology for polymer blend design and development. It uses theoretical and experimental techniques to evaluate phase inversion and employs a novel computational tool to determine the highest co‐continuity degree using machine learning.
Juan Felipe Castro‐Landinez, Tasmai Paul, Rodrigo Q. Albuquerque, Holger Schmalz, Andreas Greiner, Holger Ruckdäschel   +5 more
wiley   +1 more source

Automated Classification of Second- and Third-Degree Burn Images Using Convolutional Neural Networks. [PDF]

Eur Burn J
Montecinos-Rodríguez Y, Torres-Santana FJ, Lakouari N, Díaz-González L.   +3 more
europepmc   +1 more source

Limitations of the refolding pipeline for de novo protein design

Protein Science, Volume 35, Issue 6, June 2026.
Abstract With the emergence of powerful deep learning‐based tools, computational protein design has become a widely accessible technique. Nowadays, it is possible to perform both sequence and structure design in a matter of minutes, making the technology attractive to the broader scientific community. In protein design campaigns, one of the most common
Kerlen T. Korbeld, Vsevolod Viliuga, Maximilian J. L. J. Fürst   +2 more
wiley   +1 more source

The hidden risk of round numbers and sharp thresholds in clinical practice. [PDF]

NPJ Digit Med
Lengerich BJ, Caruana R, Nunnally ME, Kellis M.   +3 more
europepmc   +1 more source

Seasonal Ice Dynamics Control the Timing of Crevasse Drainage at a Fast‐Flowing Outlet Glacier

AGU Advances, Volume 7, Issue 3, June 2026.
Abstract Crevasse field drainage transfers at least half of the seasonal runoff from the surface to the bed of the Greenland Ice Sheet, but the patterns of drainage are complex and spatio‐temporally heterogenous. To better understand controls on crevasse drainage processes, we use an automated deep learning method to map the seasonal filling and ...
T. R. Chudley, C. R. Stokes, J. M. Lea, T. Winterbottom, R. Law, C. C. Clason, H. E. Wytiahlowsky, J. L. Dechow   +7 more
wiley   +1 more source

The politics of silence: Heidegger’s black notebooks

, 2021
openaire   +2 more sources

Emergence of Calabi-Yau manifolds in high-precision black-hole scattering. [PDF]

Nature
Driesse M, Jakobsen GU, Klemm A, Mogull G, Nega C, Plefka J, Sauer B, Usovitsch J.   +7 more
europepmc   +1 more source