Results 201 to 210 of about 828 (253)

Helmkit: fast and robust conversion of HELM notation to atomistic representations for large-scale macromolecular informatics. [PDF]

J Cheminform
Adàlia R, Sanjuan G, Margalef T, Zamora I.   +3 more
europepmc   +1 more source

Innovative and interactive statistics teaching using Quarto

Teaching Statistics, Volume 48, Issue S1, Page S36-S46, Summer 2026.
Abstract Quarto is an open‐source system that is useful for creating scientific teaching resources, particularly statistical resources, in various formats. Quarto is the next‐generation version of R Markdown, and it can produce content using a variety of programming languages, including R, Python, Julia, and Observable JS.
Kristian Evans
wiley   +1 more source

The synergy of <i>tuf</i> gene sequencing and maximum likelihood phylogenetic model: a suitable method for identifying the source of coagulase-negative <i>staphylococci</i> infections. [PDF]

Pan Afr Med J
Afeke I, Adu-Amankwaah J, Ankrah LM, Orish VN, Jamfaru I, Hamid AM, Amegan-Aho KH, Mbroh HK, Mensah GL, Ablordey AS.   +9 more
europepmc   +1 more source

L∞$L^\infty$ compactness of solutions of quasilinear problems and applications

Journal of the London Mathematical Society, Volume 114, Issue 3, September 2026.
Abstract For a (not necessarily smooth) bounded domain Ω$\Omega$ of RN$\mathbb {R}^N$, N⩾2$N \geqslant 2$ and a Carathéodory vector‐valued function a:Ω×RN→RN$a:\Omega \times \mathbb {R}^N \rightarrow \mathbb {R}^N$, we study the compactness of the inverse of the Leray–Lions operator A(u)=−div(a(x,∇u))$A(u)=-\text{div}(a(x, \nabla u))$, u∈W01,p(Ω)$u\in ...
D. Arcoya, M. C. M. Rezende, E. A. B. Silva   +2 more
wiley   +1 more source

HyMSS-GAD: a hybrid multi-stage framework for multi-view graph anomaly detection with structural, contextual, and geometric reasoning. [PDF]

Sci Rep
Khan W, Ebrahim N, Elloumi M, Brahim K.
europepmc   +1 more source

A Pure Data‐Driven Fully Distributed Model for Spatially Consistent Streamflow Prediction

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Streamflow prediction is essential for water resources management and flood mitigation but remains challenging in large basins due to spatial heterogeneity. Machine learning (ML) models have been widely applied to streamflow prediction, typically relying on explicit routing modules, whereas the potential of pure ML models remains underexplored.
Qiang Yu, Liguang Jiang, Shuo Wang, Jun Liu   +3 more
wiley   +1 more source

GRACEFUL UNICYCLIC GRAPHS

Demonstratio Mathematica, 1984
openaire   +1 more source

The χ -Binding Function of <i>d</i>-Directional Segment Graphs. [PDF]

Discrete Comput Geom
Duraj L, Kang RJ, La H, Narboni J, Pokrývka F, Rambaud C, Reinald A.   +6 more
europepmc   +1 more source

Zero-shot multimodal pain estimation via synthetic pain simulation and domain-invariant learning. [PDF]

Front Artif Intell
El Othmani O, Naouali S.
europepmc   +1 more source

Knowledge-guided diffusion for emotion and topic controllable text generation. [PDF]

iScience
Wang C, Guo H, Xia F.
europepmc   +1 more source