Results 71 to 80 of about 6,062,729 (295)

Synchronization in Dynamic Networks

open access: yesCoRR, 2017
17 ...
Bernadette Charron-Bost, Shlomo Moran
openaire   +2 more sources

Structure‐forward targeting of claudins with synthetic binders

open access: yesFEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Reversible Dynamic Behavior of Condensation‐Cured Silicone Elastomers Caused by a Catalyst

open access: yesMacromolecular Materials and Engineering, 2023
This study demonstrates that dibutyltin‐dilaurate (DBTL), commonly used to catalyze condensation‐cured silicone elastomers, causes dynamic behavior in the silicone network, which is attributed to the catalyst finding a way to become part of the elastomer
Alena Jurásková   +2 more
doaj   +1 more source

Dynamics of boolean networks

open access: yesDiscrete and Continuous Dynamical Systems - S, 2011
Boolean networks are special types of finite state time-discrete dynamical systems. A Boolean network can be described by a function from an n-dimensional vector space over the field of two elements to itself. A fundamental problem in studying these dynamical systems is to link their long term behaviors to the structures of the functions that define ...
openaire   +2 more sources

Maintenance of Structural Hole Spanners in Dynamic Networks

open access: yes, 2021
Structural Hole (SH) spanners are the set of users who bridge different groups of users and are vital in numerous applications. Despite their importance, existing work for identifying SH spanners focuses only on static networks.
Hong Shen   +7 more
core   +1 more source

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

open access: yesFEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas   +4 more
wiley   +1 more source

Multi-population genetic algorithms with immigrants scheme for dynamic shortest path routing problems in mobile ad hoc networks [PDF]

open access: yes, 2010
Copyright @ Springer-Verlag Berlin Heidelberg 2010.The static shortest path (SP) problem has been well addressed using intelligent optimization techniques, e.g., artificial neural networks, genetic algorithms (GAs), particle swarm optimization, etc ...
Yang, S   +5 more
core   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

open access: yesFEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Link Prediction Based on Subgraph Evolution in Dynamic Social Networks [PDF]

open access: yes
We propose a new method for characterizing the dynamics of complex networks with its application to the link prediction problem. Our approach is based on the discovery of network subgraphs (in this study: triads of nodes) and measuring their transitions ...
Musial, Katarzyna   +2 more
core   +6 more sources

Sustainable network dynamics [PDF]

open access: yesEcological Modelling, 2011
We propose a dynamic graph-theoretic model for ecosystem management as a control over networked system composed of target nodes and unmarked nodes. The network is represented by a complete graph, in which all vertices are connected by a unique edge. Target nodes are attracted by the objective function issued from the ecosystem-based management.
Dragicevic, Arnaud, A.   +1 more
openaire   +6 more sources

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