Results 81 to 90 of about 1,124,505 (266)

Maximum flows and minimum cuts in the plane [PDF]

Journal of Global Optimization, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Finding maximum flow in the network: A Matlab program and application [PDF]

Computational Ecology and Software, 2018
Maximum flow problems are expected occurring in some biological networks. As early as in 1950s, Ford and Fulkcerson proposed an algorithm to find maximum flow in a network.
WenJun Zhang
doaj  

The maximum flow in dynamic networks

Comput. Sci. J. Moldova, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maria A. Fonoberova, Dmitrii D. Lozovanu
openaire   +3 more sources

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Constrained Maximum Flow in Stochastic Networks

2014 IEEE 22nd International Conference on Network Protocols, 2014
Solving network flow problems is a fundamental component of traffic engineering and many communications applications, such as content delivery or multi-processor scheduling. While a rich body of work has addressed network flow problems in "deterministic networks" finding flows in "stochastic networks" where performance metrics like bandwidth and delay ...
Kuipers, F.A. (author), Yang, S. (author), Trajanovski, S. (author), Orda, A (author)   +3 more
openaire   +3 more sources

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

FEBS Letters, EarlyView.
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi, João C. Encarnação, Valeria Napolitano, Grzegorz Dubin, Grzegorz Popowicz, Karl Andersson, U. Helena Danielson   +6 more
wiley   +1 more source

The effect of climate change on the annual flow distribution of small rivers in the southern half of the European territory of Russia

Учёные записки Казанского университета: Серия Естественные науки, 2018
The ongoing climate changes lead to the transformation of the water regime of rivers. The analysis of the flow of small rivers in the southern half of the European territory of Russia has shown that, it has been characterized by intra-annual ...
G.R. Safina, V.N. Golosov
doaj  

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

FEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg, Martine Hjeltnes, Josephine Krieger, Joshua E. Elias, Maria Stensland, Kristian Holm, Xiaojun Jiang, Chuki Khangsar, Tuula A. Nyman, Arthur Kaser, Johannes R. Hov, Tom H. Karlsen, Nicole C. Kaneider, Frode L. Jahnsen, Georg Schneditz   +14 more
wiley   +1 more source

Comparative Analysis of Some Methods and Algorithms for Traffic Optimization in Urban Environments Based on Maximum Flow and Deep Reinforcement Learning

Mathematics
This paper presents a comparative analysis between classical maximum flow algorithms and modern deep Reinforcement Learning (RL) algorithms applied to traffic optimization in urban environments.
Silvia Baeva, Nikolay Hinov, Plamen Nakov   +2 more
doaj   +1 more source