Results 121 to 130 of about 427,912 (276)

Norm-euclidean quadratic extensions of the field of rational numbers

, 2015
The goal of this work is to characterize all norm-euclidean quadratic ex- tensions of Q. The work treats completely the part of imaginary quadratic extensions.
Zemková, Kristýna
core  

The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells

Advanced Science, EarlyView.
Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato, Jesús A. Andrés‐San Román, Juan Garrido‐García, Carmen Gordillo‐Vázquez, Ana M. Palacios, Elisabeth Lidueña‐Fernández, Katie McDole, Pedro Gómez‐Gálvez, Valentina Annese, Luis M. Escudero   +9 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

Mobile Location Estimation in Urban Areas Using Mixed Manhattan/Euclidean Norm and Convex Optimization

, 2009
Mobile Location Estimation in Urban Areas Using Mixed Manhattan/Euclidean Norm and Convex ...
Bor-Sen Chen (58041), Wei-Yu Chiu (17015892)   +1 more
core   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

Finite AMN-Inspired Geometric Regularization for Neural Metric Learning

Mathematics
Neural metric learning is often assessed by retrieval accuracy, but a learned dissimilarity can rank examples well while failing to have norm-like algebraic structure.
Alberto Muñoz
doaj   +1 more source

Intensity Thresholds on Raw Acceleration Data: Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) Approaches. [PDF]

PLoS One, 2016
Bakrania K, Yates T, Rowlands AV, Esliger DW, Bunnewell S, Sanders J, Davies M, Khunti K, Edwardson CL.   +8 more
europepmc   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Spectrum Sensing Algorithm Based on the Euclidean Norm of the Horizontal Visibility Graph for Cognitive Radio

IET Radar, Sonar & Navigation
To address the issues of poor detection performance under low signal‐to‐noise ratios (SNRs) and high computational complexity in existing visibility graph‐based spectrum sensing algorithms, this article proposes a novel algorithm based on the Euclidean ...
Wenqing Zhu, Guobing Hu, Jun Song, Shanshan Wu, Li Yang   +4 more
doaj   +1 more source

Computation of the Euclidean minimum of algebraic number fields

, 2014
30 pages, shorter version, with many typos fixedInternational audienceWe present an algorithm to compute the Euclidean minimum of an algebraic number field, which is a generalization of the algorithm restricted to the totally real case described by Cerri.
Pierre Lezowski, LEZOWSKI, Pierre
core   +1 more source