Results 81 to 90 of about 81,087 (166)

treestructure: an R package to detect population structure in phylogenetic trees. [PDF]

Bioinformatics
Nascimento FF, Franceschi VB, Volz EM.
europepmc   +1 more source

Communications and Cooperation in Public Network Situations

This paper focuses on sharing the costs and revenues of maintaining a public network communication structure.Revenues are assumed to be bilateral and communication links are publicly available but costly.It is assumed that agents are located at the ...
Borm, P.E.M., Quant, M., Koster, M.A.L., Suijs, J.P.M., Hamers, H.J.M.   +4 more
core  

Safe-by-redesign guidance for toxic industrial chemicals using explainable artificial intelligence: Introducing the DETOX-QSAR model. [PDF]

Sci Rep
Çeli̇k FK, Doğan S.
europepmc   +1 more source

No good Markov strategies for Büchi objectives in countable MDPs. [PDF]

Ann Oper Res
Kiefer S, Mayr R, Shirmohammadi M, Totzke P.   +3 more
europepmc   +1 more source

SPECIALIZING WIDE ARONSZAJN TREES WITHOUT ADDING REALS (Set Theory and Infinity)

SPECIALIZING WIDE ARONSZAJN TREES WITHOUT ADDING REALS (Set Theory and Infinity)
We show that under certain circumstances wide Aronszajn trees can be specialized iteratively without adding reals. We then use this fact to study forcing axioms compatible with CH and list some open problems.
openaire  

Moonshine.jl: a Julia package for genome-scale model-based ancestral recombination graph inference. [PDF]

Front Genet
Fournier P, Larribe F.
europepmc   +1 more source

The intrinsic structure and interrelations of tea culture constructed from tea-related toponym texts: Evidence from China. [PDF]

PLoS One
Xu Y, Wang R, Wu H.
europepmc   +1 more source

Characterizing semi-directed phylogenetic networks and their multi-rootable variants. [PDF]

Theory Biosci
Holtgrefe N, Huber KT, van Iersel L, Jones M, Moulton V.   +4 more
europepmc   +1 more source

Orientability of undirected phylogenetic networks to a desired class: practical algorithms and application to tree-child orientation. [PDF]

Algorithms Mol Biol
Urata T, Yokoyama M, Miyaji H, Hayamizu M.   +3 more
europepmc   +1 more source

Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning. [PDF]

PLoS One
Yang J, Wang S, Chen X, Liu L, Li Y.
europepmc   +1 more source