Results 71 to 80 of about 4,648,552 (299)
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Journal of Statistical Software, 2020 Many real-world systems are profitably described as complex networks that grow over time. Preferential attachment and node fitness are two simple growth mechanisms that not only explain certain structural properties commonly observed in real-world ...
Thong Pham +2 more
doaj +1 more source
Reticula: A temporal network and hypergraph analysis software package
SoftwareX, 2023 In the last decade, temporal networks and static and temporal hypergraphs have enabled modelling connectivity and spreading processes in a wide array of real-world complex systems such as economic transactions, information spreading, brain activity and ...
Arash Badie-Modiri, Mikko Kivelä
doaj +1 more source
Access Controlled Temporal Networks
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017 We define Access-Controlled Temporal Networks (ACTNs) as an extension of Conditional Simple Temporal Networks with Uncertainty (CSTNUs). CSTNUs are able to handle features such as contingent durations and conditional constraints, and have thus been used to model the temporal constraints of workflows underlying business processes.
COMBI, Carlo +3 more
openaire +6 more sources
A Temporal Network Version of Watts’s Cascade Model
, 2013 Threshold models of cascades in the social and economical sciences explain the spread of opinion and innovation as an eect of social influence. In threshold cascade models, fads or innovation spread between agents as determined by their interactions to ...
Holme, Petter, +3 more
core +1 more source
Temporal Brain Networks Database
, 2023 The dataset contains a collection of temporal brain networks. The networks are obtained from resting-state fMRI data of 1047 subjects from the Human Connectome Project (HCP)
Rossi, Aurora +2 more
core +1 more source
Translophagy—A potential link between autophagy impairment and translational errors
FEBS Letters, EarlyView.Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
Trajectories through temporal networks
Applied Network Science, 2021 What do football passes and financial transactions have in common? Both are networked walk processes that we can observe, where records take the form of timestamped events that move something tangible from one node to another. Here we propose an approach
Carolina E. S. Mattsson, Frank W. Takes
doaj +1 more source
CSTNU Tool: A Java library for checking temporal networks
SoftwareX, 2022 This paper presents CSTNU Tool , a Java library for representing and checking different kinds of temporal constraint networks. In particular, CSTNU Tool offers an optimized implementation of some constraint-propagation algorithms to check the dynamic ...
Roberto Posenato
doaj +1 more source
On controllability of temporal networks
European Journal of ControlzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luca Claude Gino Lebon +2 more
openaire +4 more sources