Results 221 to 230 of about 7,167,330 (247)

Navigating the paradigm shift of sex inclusive preclinical research and lessons learnt. [PDF]

Commun Biol
Karp NA.
europepmc   +1 more source

Towards planetary boundary sustainability of food processing wastewater, by resource recovery & emission reduction: A process system engineering perspective.

Carbon Capture Sci Technol
Durkin A, Vinestock T, Guo M.
europepmc   +1 more source

The MicroMap is a network visualisation resource for microbiome metabolism

Thinnes CC, Waschkowitz R, Courtney E, Culligan E, Fahy K, Ferrazza RAM, Ferris C, Lagali A, Lane R, Maye C, Murphy O, Noone D, Ryan S, Bet M, Corr MC, Cummins H, Hackett D, Healy E, Kulczycka N, Lang N, Madden L, McHugh L, Pyne I, Varley C, Harkin N, Meade R, O’Donnell G, Nap B, Martinelli F, Heinken A, Thiele I.   +30 more
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Spatial modelling improves genomic evaluation in Tanzanian smallholder admixed dairy cattle

Houaga I, Mrode R, Ojango J, Ekine-Dzivenu CC, Okeyo M, Nziku Z, Nguluma A, Lavrenčič E, Lindgren F, Pocrnic I, Djikeng A, Gorjanc G.   +11 more
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Modelling Biological Systems

, 2010
Networks of coupled oscillators are observed in various domains of science. From physics to economy through biology, they are used to explain how collective behaviour emerges from interacting oscillators.
W. D. Kepseu, J. Sepulchre, P. Woafo
semanticscholar   +2 more sources

Fuzzy Petri nets for modelling of uncertain biological systems

Briefings Bioinform., 2018
The modelling of biological systems is accompanied with epistemic uncertainties that range from structural uncertainty to parametric uncertainty due to such limitations as insufficient understanding of the underlying mechanism and incomplete measurement ...
Fei Liu, M. Heiner, D. Gilbert
semanticscholar   +1 more source

Predictive modelling of complex agronomic and biological systems.

Plant, Cell and Environment, 2013
Biological systems are tremendously complex in their functioning and regulation. Studying the multifaceted behaviour and describing the performance of such complexity has challenged the scientific community for years.
J. Keurentjes, J. Molenaar, B. Zwaan
semanticscholar   +1 more source

Modelling biological systems

, 1971
Co-operation between control engineers and biologists can help in the understanding of both biological and control systems.
F. R. Janes, E. Carson
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Modelling complex biological systems using an agent-based approach.

Integrative Biology, 2012
Many of the complex systems found in biology are comprised of numerous components, where interactions between individual agents result in the emergence of structures and function, typically in a highly dynamic manner.
M. Holcombe, S. Adra, Mesude Bicak, Shawn Chin, S. Coakley, Alison I. Graham, Jeffrey Green, C. Greenough, D. Jackson, M. Kiran, S. MacNeil, Afsaneh Maleki-Dizaji, Phil McMinn, M. Pogson, R. Poole, E. Qwarnstrom, F. Ratnieks, M. Rolfe, R. Smallwood, T. Sun, D. Worth   +20 more
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