Results 111 to 120 of about 12,845,141 (320)

Euclidean space perturbed by a constant vector field and its relation to a Zermelo navigation problem

Selecciones Matemáticas
In this work, the authors perturb the Euclidean plane with a constant vector field of the form W = (0, ε) with 0 ≤ ε < 1, which can be interpreted as wind currents affecting the movement of ships in a constant unidirectional way.
Dik D. Lujerio Garcia, Newton M. Solórzano Chávez, Marck A. Molina Morales, Bibiano M. Cerna Maguiña   +3 more
doaj   +1 more source

Brain Network Dynamics of Local and Global Predictive Processing in Aging

Advanced Science, EarlyView.
Separation of concurrent whole‐brain networks in source‐reconstructed magnetoencephalography (MEG) data suggests that healthy aging reorganizes, rather than uniformly attenuates, neural responses elicited from hierarchical auditory violations. Enhanced early sensory deviance processing alongside reduced higher‐order cognitive responses suggests a large‐
Mathias Houe Andersen, Gemma Fernández‐Rubio, David R. Quiroga‐Martinez, Mattia Rosso, Mathias Klarlund, Kit Melissa Larsen, Hartwig Roman Siebner, Morten L. Kringelbach, Peter Vuust, Leonardo Bonetti   +9 more
wiley   +1 more source

Real‐Time Monitoring of Mass and Mechanical Properties in Single Cells and Multicellular Spheroids

Advanced Science, EarlyView.
This study introduces photothermally actuated microcantilevers combined with optical microscopy to simultaneously measure morphology, mass, and mechanical properties of cellular systems in real‐time. The findings link cytoplasm‐dominated mechanical energy dissipation to the Q‐factor as a novel biophysical parameter.
Ilaria Incaviglia, Giulia E. M. Ammirati, Sophie Herzog, Tommy Krug, Nico Strohmeyer, Miguel Camacho Rufino, Matthias P. Lutolf, David A. Weitz, Daniel J. Müller   +8 more
wiley   +1 more source

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

Advanced Science, EarlyView.
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley   +1 more source

Euclidean ℰ-models

Journal of High Energy Physics
We develop the theory of the first-order dynamical systems, called the Euclidean ℰ-models, which naturally give rise in their second-order formulation to non-unitary nonlinear σ-models with real Euclidean actions.
Ctirad Klimčík
doaj   +1 more source

Riemannian L-systems: modelling growing forms in curved spaces

Quantitative Plant Biology
In the past 50 years, the formalism of L-systems has been successfully used and developed to model the growth of filamentous and branching biological forms. These simulations take place in classical 2-D or 3-D Euclidean spaces.
Christophe Godin, Frédéric Boudon
doaj   +1 more source

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source

ReLink: Reliable Deep Learning for Microscopic Motion Tracking

Advanced Science, EarlyView.
ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang, Xiaochen Feng, Hongda Wei, Hao Sha, Hongpeng Wang, Min Zhang, Sanyang Han, Yongbing Zhang   +7 more
wiley   +1 more source

Euclidean wormholes and gravitational states

SciPost Physics
Euclidean wormholes are known to encode important non-perturbative effects in the physics of quantum black holes. In this paper, we discuss the slicing of Euclidean wormholes along a time-reflection symmetric slice which treats half of the Euclidean ...
Alexandre Belin
doaj   +1 more source

When are Two‐Dimensional Covalent Organic Frameworks Good Electrodes for Lithium Ion Batteries? A Data‐Driven Analysis

Advanced Science, EarlyView.
A data‐driven framework integrating density‐functional theory with machine learning models screens two‐dimensional covalent organic frameworks (2D COFs) from CoRE COF database to reveal atomic‐level design rules: N/O‐rich coordination pockets drive cathode behavior, while separated redox sites and π‐rich galleries enable anode function in Li‐ion ...
Preeti Bhauriyal, Shubhajit Das, Thomas Heine   +2 more
wiley   +1 more source