Results 101 to 110 of about 527,719 (327)

Book Review: Problems in Euclidean Space: Application of convexity [PDF]

, 1958
Herbert Busemann
openalex   +1 more source

A Vector Tensor Calculus Description of a Euclidean Space

, 2023
Pavel Grinfeld
openalex   +2 more sources

Subcanonical points on projective curves and triply periodic minimal surfaces in the Euclidean space [PDF]

, 2014
Francesco Bastianelli, Gian Pietro Pirola   +1 more
openalex   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

THA-surfaces in 3-dimensional Euclidean space

Asia Pacific Journal of Mathematics, 2021
Bendehiba Senoussi, Abdelaziz Bennour, Khaled Beddani   +2 more
doaj   +1 more source

Proper holomorphic maps in Euclidean spaces avoiding unbounded convex sets [PDF]

, 2023
Barbara Drinovec Drnovšek, Franc Forstnerič   +1 more
openalex   +1 more source

Comment on “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence”

Advanced Science, EarlyView.
This comment examines AI‐driven DNA‐based facial reconstruction, focusing on the Difface model. While such technologies promise biomedical and forensic applications, they pose significant ethical, legal, and methodological challenges. We emphasize transparency, benchmarking, and rigorous validation to avoid misinterpretation and misuse.
Jennifer K. Wagner, Nina Claessens, Caitlin M. Maloney, Peter Claes   +3 more
wiley   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

Euclidean hypersurfaces isometric to spheres

AIMS Mathematics
Given an immersed hypersurface $ M^{n} $ in the Euclidean space $ E^{n+1} $, the tangential component $\boldsymbol{\omega }$ of the position vector field of the hypersurface is called the basic vector field, and the smooth function of the normal ...
Yanlin Li , Nasser Bin Turki , Sharief Deshmukh, Olga Belova   +3 more
doaj   +1 more source

Metric averaging in Euclidean and Hilbert spaces [PDF]

, 1979
Ralph Alexander
openalex   +1 more source